100+ datasets found
  1. r

    Indian Journal of Science and Technology Impact Factor 2024-2025 -...

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Indian Journal of Science and Technology Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/246/indian-journal-of-science-and-technology
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Indian Journal of Science and Technology Impact Factor 2024-2025 - ResearchHelpDesk - Indian Journal of Science and Technology is an open-access journal publishing full-length research papers and review articles covering subjects that fall under the wide spectrum of science and technology. The journal is dedicated towards dissemination of knowledge related to the advancement in scientific research. The prestigious interdisciplinary editorial board reflects the diversity of subjects covered in this journal. Under the realm of science and technology, the coverage includes environmental science, pure and applied mathematics, agricultural research and engineering, biology, biotechnology, bioinformatics, Healthcare sciences (including clinical medicine, preventive medicine & public health), physics, biophysics, computer science, chemistry and bioengineering, to name a few. Indian Journal of Science and Technology is published by Indian Society for Education and Environment and co-published by Informatics (India) Ltd. The journal now brings out weekly issues June 2015 onwards and brought out monthly publications since its inception in 2007. It supports the open access policy of making scientific research accessible to one and all. Abstracted & Indexed in: Chemical Abstracts Services (CAS) J-Gate Plus Research Bible EBSCO Publishing’s Electronic Databases USA DOAJ Urlich’s Periodical Directory USA Indian Science Abstracts India Index Copernicus Poland ISI Thomson Reuters (Web of Science Zoological Record.

  2. r

    Journal of management Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Journal of management Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/202/journal-of-management
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Journal of management Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Management - JOM is committed to publishing scholarly empirical and theoretical research articles, that have a high impact on the management field as a whole. The journal encourages new ideas or new perspectives on existing research. The journal covers such areas as: Business strategy & policy Organizational behavior Human resource management Organizational theory Entrepreneurship Research Methods The Journal of Management welcomes empirical and theoretical articles dealing with micro, meso, and macro workplace phenomena. Manuscripts that are suitable for publication in the Journal of Management cover domains such as business strategy and policy, entrepreneurship, human resource management, organizational behavior, organizational theory, and research methods. Abstract & indexing details Business ASAP - Gale Business and Company Resource Center - Gale EBSCO: Business Source - Main Edition Emerald Management Reviews Expanded Academic Index - Gale LexisNexis PAIS International ProQuest: CSA Sociological Abstracts ProQuest: International Bibliography of the Social Sciences (IBSS) PsycINFO Scopus Social SciSearch Social Sciences Citation Index (Web of Science) VINITI Abstracts Journal Wilson Business Periodicals Index/Wilson Business Abstracts

  3. The 2006 impact factor of Web of Science specialized Journals and subsets of...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Rogerio Meneghini; Abel L. Packer; Lilian Nassi-Calò (2023). The 2006 impact factor of Web of Science specialized Journals and subsets of articles from England, France, Germany, Japan and USA. [Dataset]. http://doi.org/10.1371/journal.pone.0003804.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Rogerio Meneghini; Abel L. Packer; Lilian Nassi-Calò
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Japan, Germany, England, United States, France
    Description

    Data were collected from Thomson Reuters WoS data base. Two columns of IF are shown for each country for selected journals. One is for the total of articles of the country and the other for articles with affiliation of the country only, without collaboration. For each journal the corresponding 2006 citations of 2004+2005 articles and the number of 2004+2005 articles are shown below each IF value.

  4. m

    The list of Multi-Language Journals from Web of Science Core Collection...

    • data.mendeley.com
    Updated Dec 18, 2018
    + more versions
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    Mark Akoev (2018). The list of Multi-Language Journals from Web of Science Core Collection masterlist with Impact Factor and Share of English Language Documents In Previous Two Years [Dataset]. http://doi.org/10.17632/r6dcf26mvp.2
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    Dataset updated
    Dec 18, 2018
    Authors
    Mark Akoev
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data about the share of English Language documents in previous two years and value of Impact Factor in 3th year from 2006 to 2016 years. The data was prepared for article: Non-English language publications in Citation Indexes – quantity and quality / Olga Moskaleva and Mark Akoev // 17th International Conference on Scientometrics and Informetrics ISSI 2019 and 24rd International Conference on Science, Technology and Innovation STI 2019

  5. r

    Polymer engineering and science Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
    + more versions
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    Research Help Desk (2022). Polymer engineering and science Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/458/polymer-engineering-and-science
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Polymer engineering and science Impact Factor 2024-2025 - ResearchHelpDesk - Polymer engineering and science - Every day, the Society of Plastics Engineers (SPE) takes action to help companies in the plastics industry succeed. How? By spreading knowledge, strengthening skills and promoting plastics. Employing these vital strategies, Polymer engineering and science - SPE has helped the plastics industry thrive for over 60 years. In the process, we've developed a 25,000-member network of leading engineers and other plastics professionals, including technicians, salespeople, marketers, retailers, and representatives from tertiary industries. For more than 30 years, Polymer Engineering & Science has been one of the most highly regarded journals in the field, serving as a forum for authors of treatises on the cutting edge of polymer science and technology. The importance of PE&S is underscored by the frequent rate at which its articles are cited, especially by other publications - literally thousands of times a year. Engineers, researchers, technicians, and academicians worldwide are looking to PE&S for the valuable information they need. There are special issues compiled by distinguished guest editors. These contain proceedings of symposia on such diverse topics as polyblends, mechanics of plastics and polymer welding. Abstracting and Indexing Information Academic ASAP (GALE Cengage) Advanced Technologies & Aerospace Database (ProQuest) Applied Science & Technology Index/Abstracts (EBSCO Publishing) CAS: Chemical Abstracts Service (ACS) CCR Database (Clarivate Analytics) Chemical Abstracts Service/SciFinder (ACS) Chemistry Server Reaction Center (Clarivate Analytics) ChemWeb (ChemIndustry.com) Chimica Database (Elsevier) COMPENDEX (Elsevier) Current Contents: Engineering, Computing & Technology (Clarivate Analytics) Current Contents: Physical, Chemical & Earth Sciences (Clarivate Analytics) Expanded Academic ASAP (GALE Cengage) InfoTrac (GALE Cengage) Journal Citation Reports/Science Edition (Clarivate Analytics) Materials Science & Engineering Database (ProQuest) PASCAL Database (INIST/CNRS) Polymer Library (iSmithers RAPRA) ProQuest Central (ProQuest) ProQuest Central K-462 Reaction Citation Index (Clarivate Analytics) Research Library (ProQuest) Research Library Prep (ProQuest) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SciTech Premium Collection (ProQuest) SCOPUS (Elsevier) STEM Database (ProQuest) Technology Collection (ProQuest) Web of Science (Clarivate Analytics)

  6. f

    Standardized effect sizes (±standard error) of variables affecting the...

    • figshare.com
    xls
    Updated Jun 2, 2023
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    Brandon K. Peoples; Stephen R. Midway; Dana Sackett; Abigail Lynch; Patrick B. Cooney (2023). Standardized effect sizes (±standard error) of variables affecting the number of Web of Science citations received by 1,599 primary research articles published in ecology journals between 2012 and 2014. [Dataset]. http://doi.org/10.1371/journal.pone.0166570.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Brandon K. Peoples; Stephen R. Midway; Dana Sackett; Abigail Lynch; Patrick B. Cooney
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Standardized effect sizes (±standard error) of variables affecting the number of Web of Science citations received by 1,599 primary research articles published in ecology journals between 2012 and 2014.

  7. Z

    An analysis of the current overlay journals

    • data.niaid.nih.gov
    Updated Oct 18, 2022
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    Rousi, Antti M.; Laakso, Mikael (2022). An analysis of the current overlay journals [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6420517
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    Dataset updated
    Oct 18, 2022
    Dataset provided by
    Hanken School of Economics
    Aalto University
    Authors
    Rousi, Antti M.; Laakso, Mikael
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Research data to accommodate the article "Overlay journals: a study of the current landscape" (https://doi.org/10.1177/09610006221125208)

    Identifying the sample of overlay journals was an explorative process (occurring during April 2021 to February 2022). The sample of investigated overlay journals were identified by using the websites of Episciences.org (2021), Scholastica (2021), Free Journal Network (2021), Open Journals (2021), PubPub (2022), and Wikipedia (2021). In total, this study identified 34 overlay journals. Please see the paper for more details about the excluded journal types.

    The journal ISSN numbers, manuscript source repositories, first overlay volumes, article volumes, publication languages, peer-review type, licence for published articles, author costs, publisher types, submission policy, and preprint availability policy were observed by inspecting journal editorial policies and submission guidelines found from journal websites. The overlay journals’ ISSN numbers were identified by examining journal websites and cross-checking this information with the Ulrich’s periodicals database (Ulrichsweb, 2021). Journals that published review reports, either with reviewers’ names or anonymously, were classified as operating with open peer-review. Publisher types defined by Laakso and Björk (2013) were used to categorise the findings concerning the publishers. If the journal website did not include publisher information, the editorial board was interpreted to publish the journal.

    The Organisation for Economic Co-operation and Development (OECD) field of science classification was used to categorise the journals into different domains of science. The journals’ primary OECD field of sciences were defined by the authors through examining the journal websites.

    Whether the journals were indexed in the Directory of Open Access Journals (DOAJ), Scopus, or Clarivate Analytics’ Web of Science Core collection’s journal master list was examined by searching the services with journal ISSN numbers and journal titles.

    The identified overlay journals were examined from the viewpoint of both qualitative and quantitative journal metrics. The qualitative metrics comprised the Nordic expert panel rankings of scientific journals, namely the Finnish Publication Forum, the Danish Bibliometric Research Indicator and the Norwegian Register for Scientific Journals, Series and Publishers. Searches were conducted from the web portals of the above services with both ISSN numbers and journal titles. Clarivate Analytics’ Journal Citation Reports database was searched with the use of both ISSN numbers and journal titles to identify whether the journals had a Journal Citation Indicator (JCI), Two-Year Impact Factor (IF) and an Impact Factor ranking (IF rank). The examined Journal Impact Factors and Impact Factor rankings were for the year 2020 (as released in 2021).

  8. r

    High-Ranked Social Science Journal Articles

    • researchdata.edu.au
    Updated 2014
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    Stern David; Professor David Stern (2014). High-Ranked Social Science Journal Articles [Dataset]. http://doi.org/10.4225/13/5404052DDD22E
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    Dataset updated
    2014
    Dataset provided by
    The Australian National University
    The Australian National University Data Commons
    Authors
    Stern David; Professor David Stern
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Time period covered
    1999 - 2012
    Description

    Do citations accumulate too slowly in the social sciences to be used to assess the quality of recent articles? This data supports research that shows that it is no more difficult to predict the future citations that social science journal articles will receive than it is to predict the future citations of articles in some natural sciences. The research uses citations accumulated in the first few years after publication and journal impact factors to predict the future citation ranks of all economics and political science articles in the Web of Science published in 2006. I find that citations in the first two years after publication explain more than half of the variation in cumulative citations received over a longer period. Journal impact factors improve the correlation between the predicted and actual future ranks of journal articles when using citation data from 2006 alone but the effect declines sharply thereafter. Also, more than half of the papers in the top 20% in 2012 were already in the top 20% in the year of publication (2006). A comparison The data includes citation data in each year from 2006 to 2012 for the 2006 articles and the impact factors of the journals that the articles were published in. The data also includes citations in each year from 1999 to 2012 for all economics articles in the Web of Science published in 1999.

  9. n

    Data of top 50 most cited articles about COVID-19 and the complications of...

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated Jan 10, 2024
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    Tanya Singh; Jagadish Rao Padubidri; Pavanchand Shetty H; Matthew Antony Manoj; Therese Mary; Bhanu Thejaswi Pallempati (2024). Data of top 50 most cited articles about COVID-19 and the complications of COVID-19 [Dataset]. http://doi.org/10.5061/dryad.tx95x6b4m
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    zipAvailable download formats
    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Kasturba Medical College, Mangalore
    Authors
    Tanya Singh; Jagadish Rao Padubidri; Pavanchand Shetty H; Matthew Antony Manoj; Therese Mary; Bhanu Thejaswi Pallempati
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Background This bibliometric analysis examines the top 50 most-cited articles on COVID-19 complications, offering insights into the multifaceted impact of the virus. Since its emergence in Wuhan in December 2019, COVID-19 has evolved into a global health crisis, with over 770 million confirmed cases and 6.9 million deaths as of September 2023. Initially recognized as a respiratory illness causing pneumonia and ARDS, its diverse complications extend to cardiovascular, gastrointestinal, renal, hematological, neurological, endocrinological, ophthalmological, hepatobiliary, and dermatological systems. Methods Identifying the top 50 articles from a pool of 5940 in Scopus, the analysis spans November 2019 to July 2021, employing terms related to COVID-19 and complications. Rigorous review criteria excluded non-relevant studies, basic science research, and animal models. The authors independently reviewed articles, considering factors like title, citations, publication year, journal, impact factor, authors, study details, and patient demographics. Results The focus is primarily on 2020 publications (96%), with all articles being open-access. Leading journals include The Lancet, NEJM, and JAMA, with prominent contributions from Internal Medicine (46.9%) and Pulmonary Medicine (14.5%). China played a major role (34.9%), followed by France and Belgium. Clinical features were the primary study topic (68%), often utilizing retrospective designs (24%). Among 22,477 patients analyzed, 54.8% were male, with the most common age group being 26–65 years (63.2%). Complications affected 13.9% of patients, with a recovery rate of 57.8%. Conclusion Analyzing these top-cited articles offers clinicians and researchers a comprehensive, timely understanding of influential COVID-19 literature. This approach uncovers attributes contributing to high citations and provides authors with valuable insights for crafting impactful research. As a strategic tool, this analysis facilitates staying updated and making meaningful contributions to the dynamic field of COVID-19 research. Methods A bibliometric analysis of the most cited articles about COVID-19 complications was conducted in July 2021 using all journals indexed in Elsevier’s Scopus and Thomas Reuter’s Web of Science from November 1, 2019 to July 1, 2021. All journals were selected for inclusion regardless of country of origin, language, medical speciality, or electronic availability of articles or abstracts. The terms were combined as follows: (“COVID-19” OR “COVID19” OR “SARS-COV-2” OR “SARSCOV2” OR “SARS 2” OR “Novel coronavirus” OR “2019-nCov” OR “Coronavirus”) AND (“Complication” OR “Long Term Complication” OR “Post-Intensive Care Syndrome” OR “Venous Thromboembolism” OR “Acute Kidney Injury” OR “Acute Liver Injury” OR “Post COVID-19 Syndrome” OR “Acute Cardiac Injury” OR “Cardiac Arrest” OR “Stroke” OR “Embolism” OR “Septic Shock” OR “Disseminated Intravascular Coagulation” OR “Secondary Infection” OR “Blood Clots” OR “Cytokine Release Syndrome” OR “Paediatric Inflammatory Multisystem Syndrome” OR “Vaccine Induced Thrombosis with Thrombocytopenia Syndrome” OR “Aspergillosis” OR “Mucormycosis” OR “Autoimmune Thrombocytopenia Anaemia” OR “Immune Thrombocytopenia” OR “Subacute Thyroiditis” OR “Acute Respiratory Failure” OR “Acute Respiratory Distress Syndrome” OR “Pneumonia” OR “Subcutaneous Emphysema” OR “Pneumothorax” OR “Pneumomediastinum” OR “Encephalopathy” OR “Pancreatitis” OR “Chronic Fatigue” OR “Rhabdomyolysis” OR “Neurologic Complication” OR “Cardiovascular Complications” OR “Psychiatric Complication” OR “Respiratory Complication” OR “Cardiac Complication” OR “Vascular Complication” OR “Renal Complication” OR “Gastrointestinal Complication” OR “Haematological Complication” OR “Hepatobiliary Complication” OR “Musculoskeletal Complication” OR “Genitourinary Complication” OR “Otorhinolaryngology Complication” OR “Dermatological Complication” OR “Paediatric Complication” OR “Geriatric Complication” OR “Pregnancy Complication”) in the Title, Abstract or Keyword. A total of 5940 articles were accessed, of which the top 50 most cited articles about COVID-19 and Complications of COVID-19 were selected through Scopus. Each article was reviewed for its appropriateness for inclusion. The articles were independently reviewed by three researchers (JRP, MAM and TS) (Table 1). Differences in opinion with regard to article inclusion were resolved by consensus. The inclusion criteria specified articles that were focused on COVID-19 and Complications of COVID-19. Articles were excluded if they did not relate to COVID-19 and or complications of COVID-19, Basic Science Research and studies using animal models or phantoms. Review articles, Viewpoints, Guidelines, Perspectives and Meta-analysis were also excluded from the top 50 most-cited articles (Table 1). The top 50 most-cited articles were compiled in a single database and the relevant data was extracted. The database included: Article Title, Scopus Citations, Year of Publication, Journal, Journal Impact Factor, Authors, Number of Authors, Department Affiliation, Number of Institutions, Country of Origin, Study Topic, Study Design, Sample Size, Open Access, Non-Original Articles, Patient/Participants Age, Gender, Symptoms, Signs, Co-morbidities, Complications, Imaging Modalities Used and outcome.

  10. Data used in this study.

    • plos.figshare.com
    txt
    Updated Jun 7, 2023
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    Brandon K. Peoples; Stephen R. Midway; Dana Sackett; Abigail Lynch; Patrick B. Cooney (2023). Data used in this study. [Dataset]. http://doi.org/10.1371/journal.pone.0166570.s001
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    txtAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Brandon K. Peoples; Stephen R. Midway; Dana Sackett; Abigail Lynch; Patrick B. Cooney
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Variables include journal identity, 5-year journal impact factor, publication information (year published, volume, issue, and authors), collection date and publication date (used to calculate time since publication), number of tweets, number of users, Twitter reach, and number of Web of Science citations. (CSV)

  11. r

    IETE journal of research Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 19, 2022
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    Research Help Desk (2022). IETE journal of research Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/541/iete-journal-of-research
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    Dataset updated
    Feb 19, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    IETE journal of research Impact Factor 2024-2025 - ResearchHelpDesk - IETE Journal of Research is a bimonthly journal published by the Institution of Electronics and Telecommunication Engineers (IETE), India. It publishes scientific and technical papers describing original research work or novel product/process development. Occasionally special issues are brought out on new and emerging research areas. This journal is useful to researchers, engineers, scientists, teachers, managers, and students who are interested in keeping track of original research and development work being carried out in the broad area of electronics, telecommunications, computer science, and engineering and information technology. Subjects covered by this journal are: Communications: Digital and analog communication, Digital signal processing, Image processing, Satellite communication, Secure communication, Speech and audio processing, Space communication, Vehicular communications, Wireless communication. Computers and Computing: Algorithms, Artificial intelligence, Computer graphics, Compiler programming and languages, Computer vision, Data mining, High-performance computing, Information technology, Internet computing, Multimedia, Networks, Network Security, Operating systems, Quantum learning systems, Pattern Recognition, Sensor networks, Soft computing. Control Engineering: Control theory and practice- Conventional control, Non-linear control, Adaptive control, Robust Control, Reinforcement learning control, Soft computing tools in control application- Fuzzy logic systems, Neural Networks, Support vector machines, Intelligent control. Electromagnetics: Antennas and arrays, Bio-electromagnetics, Computational electromagnetics, Electromagnetic interference, Electromagnetic compatibility, Metamaterials, Millimeter-wave and Terahertz circuits and systems, Microwave measurements, Microwave Photonics, Passive, active and tunable microwave circuits, Propagation studies, Radar and remote sensing, Radio wave propagation and scattering, RFID, RF MEMS, Solid-state microwave devices and tubes, UWB circuits and systems. Electronic Circuits, Devices, and Components: Analog and Digital circuits, Display Technology, Embedded Systems VLSI Design, Microelectronics technology and device characterization, MEMS, Nano-electronics, Nanotechnology, Physics and technology of CMOS devices, Sensors, Semiconductor device modeling, Space electronics, Solid state devices, and modeling. Instrumentation and Measurements: Automated instruments and measurement techniques, Industrial Electronics, Non-destructive characterization and testing, Sensors. Medical Electronics: Bio-informatics, Biomedical electronics, Bio-MEMS, Medical Instrumentation. Opto-Electronics: Fibre optics, Holography and optical data storage, Optical sensors Quantum Electronics, Quantum optics. Power Electronics: AC-DC/DC-DC/DC-AC/AC-AC converters, Battery chargers, Custom power devices, Distributed power generation, Electric vehicles, Electrochemical processes, Electronic blast, Flexible AC transmission systems, Heating/welding, Hybrid vehicles, HVDC transmission, Power quality, Renewal energy generation, Switched-mode power supply, Solid-state control of motor drives. The IETE Journal of Research is indexed in: British Library CLOCKSS CrossRef EBSCO - Applied Science & Technology Source EBSCO - Academic Search Complete EBSCO - STM Source EI Compendex/ Engineering Village (Elsevier) Google Scholar Microsoft Academic Portico ProQuest - ProQuest Central ProQuest - Research Library ProQuest - SciTech Premium Collection ProQuest - Technology Collection Science Citation Index Expanded (Thomson Reuters) SCImago (Elsevier) Scopus (Elsevier) Ulrich's Periodicals Directory Web of Science (Thomson Reuters) WorldCat Local (OCLC) Zetoc RG Journal Impact: 0.59 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2020 Available summer 2021 2018 / 2019 0.59 2017 0.39 2016 0.33 2015 0.49 2014 0.49 2013 0.41 2012 0.61 2011 0.90 2010 0.43 2009 0.22 2008 0.19 2007 0.23 2006 0.09 2005 0.11 2004 0.23 2003 0.38 IETE Journal of Research more details H Index - 20 Subject Area and Category: Computer Science, Computer Science Applications, Engineering, Electrical, and Electronic Engineering, Mathematics, Theoretical Computer Science Publisher: Taylor & Francis Publication Type: Journals Coverage : 1979-1989, 1993-ongoing

  12. r

    Australasian Journal of Educational Technology Impact Factor 2024-2025 -...

    • researchhelpdesk.org
    Updated Feb 19, 2022
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    Research Help Desk (2022). Australasian Journal of Educational Technology Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/15/australasian-journal-of-educational-technology
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    Dataset updated
    Feb 19, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Australasian Journal of Educational Technology Impact Factor 2024-2025 - ResearchHelpDesk - The Australasian Journal of Educational Technology is the journal of ASCILITE, the Australasian Society for Computers in Learning in Tertiary Education. It aims to promote research and scholarship on the integration of technology in tertiary education, promote effective practice, and inform policy. Please see About-Focus and Scope for a more detailed description of the scope of the journal. AJET is indexed in EDITLib, Thomson Reuters Web of Science, Scopus the ACER Blended Online Learning and Distance Education research bankand EBSCOhost Electronic Journals Service. AJET citation statistics appear within the Thomson Reuters ISI Journal Citation Reports (Social Science Citation Index), the Google Scholar Metrics and the Scopus SCImago journal rankings. Prior to Volume 20, 2004, AJET was published under the title Australian Journal of Educational Technology. AJET has no publication charges.

  13. Data from: A Case Study Exploring Associations Between Popular Media...

    • figshare.com
    xlsx
    Updated May 30, 2020
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    Sage Anderson (2020). A Case Study Exploring Associations Between Popular Media Attention of Scientific Research and Scientific Citations [Dataset]. http://doi.org/10.6084/m9.figshare.12142572.v7
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    xlsxAvailable download formats
    Dataset updated
    May 30, 2020
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Sage Anderson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset for "A Case Study Exploring Associations Between Popular Media Attention of Scientific Research and Scientific Citations"Legend: LeadH= Lead author H-index (WoS)InstH= Institutional rank (Shanghai)CorrH= Corresponding author H-index (WoS)Scopus= Scopus citation count WoS=Web of Science citation countFWCit= Field-weighted citation impact (Scopus)AbsViews= Abstract views (Scopus)Mendeley= Mendeley readersJIFPerc= Journal Impact Factor percentile (in WoS Sports sciences category)Impact1= 1 year JIF (WoS)Impact5= 5 year JIF (WoS)Altmetric= Altmetric Attention ScoreSocMedia= Social media mentions (Facebook + Twitter collected via Altmetric)

  14. r

    Conservation and Society Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Conservation and Society Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/583/conservation-and-society
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Conservation and Society Impact Factor 2024-2025 - ResearchHelpDesk - Conservation & Society Aim Conservation & Society is a peer-reviewed, interdisciplinary, open-access journal, dedicated to the advancement of the theory and practice of conservation. It aims to serve as a bridge between conservation practitioners from a wide array of disciplines and therefore seeks to disseminate work presented in an integrative and simple manner that is accessible to individuals from disciplines ranging from the natural and social sciences to the humanities. Conservation & Society Scope The journal draws on both natural and social sciences and covers basic and applied research in areas including but not restricted to political ecology, human-wildlife conflicts, decentralised conservation, conservation policy, ecosystem structure and functioning, systematics, community and species ecology, behavioural ecology, landscape ecology, restoration ecology and conservation biology. Readership The journal is of interest to academics, researchers, teachers, naturalists, policy makers, planners, resource managers and media professionals. About the Journal Conservation & Society (www.conservationandsociety.org) is a peer-reviewed interdisciplinary open access journal dedicated to the advancement of the theory and practice of conservation. The journal draws on both natural and social sciences, and covers basic and applied research in areas including but not restricted to political ecology, environmental history, anthropology and sociology, human ecology, conservation policy and governance, human-wildlife conflicts, ecosystem structure and functioning, systematics, community and species ecology, behavioural ecology, landscape ecology, restoration ecology, and conservation biology. The journal publishes submitted and commissioned articles, debates and discussions, editorials, book reviews, comments and notes, and reader feedback. Conservation & Society is of interest to academics, researchers, teachers, naturalists, policymakers, planners, and resource managers. It aims to serve as a bridge between conservation practitioners from a wide array of disciplines and therefore seeks to disseminate work presented in an integrative and simple manner that is accessible to individuals from disciplines ranging from the natural and social sciences to the humanities. The journal accepts articles addressing conservation issues the world over, with a focus on developing countries. Abstracting and Indexing Information The journal is registered with the following abstracting partners: Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Hinari, Infotrieve, National Science Library, ProQuest, TDNet, Wanfang Data The journal is indexed with, or included in, the following: DOAJ, Indian Science Abstracts, Scimago Journal Ranking, SCOPUS, Science Citation Index Expanded, Web of Science SJR Report Year SJR 2012 0.263 2013 0.779 2014 0.986 2015 0.815 2016 0.765 2017 0.811 2018 0.797 2019 0.779 2020 1.040 Cites Year Value Self Cites 2007 0 Self Cites 2008 8 Self Cites 2009 4 Self Cites 2010 14 Self Cites 2011 10 Self Cites 2012 15 Self Cites 2013 18 Self Cites 2014 11 Self Cites 2015 12 Self Cites 2016 6 Self Cites 2017 10 Self Cites 2018 10 Self Cites 2019 9 Self Cites 2020 15 Total Cites 2007 0 Total Cites 2008 20 Total Cites 2009 54 Total Cites 2010 135 Total Cites 2011 77 Total Cites 2012 140 Total Cites 2013 161 Total Cites 2014 184 Total Cites 2015 218 Total Cites 2016 163 Total Cites 2017 193 Total Cites 2018 223 Total Cites 2019 261 Total Cites 2020 324 Cites per document Year Value Cites / Doc. (4 years) 2007 0.000 Cites / Doc. (4 years) 2008 0.741 Cites / Doc. (4 years) 2009 1.000 Cites / Doc. (4 years) 2010 1.646 Cites / Doc. (4 years) 2011 1.613 Cites / Doc. (4 years) 2012 1.584 Cites / Doc. (4 years) 2013 1.880 Cites / Doc. (4 years) 2014 2.475 Cites / Doc. (4 years) 2015 2.214 Cites / Doc. (4 years) 2016 1.896 Cites / Doc. (4 years) 2017 2.235 Cites / Doc. (4 years) 2018 2.061 Cites / Doc. (4 years) 2019 2.234 Cites / Doc. (4 years) 2020 2.946 Cites / Doc. (3 years) 2007 0.000 Cites / Doc. (3 years) 2008 0.741 Cites / Doc. (3 years) 2009 1.000 Cites / Doc. (3 years) 2010 1.646 Cites / Doc. (3 years) 2011 0.917 Cites / Doc. (3 years) 2012 1.628 Cites / Doc. (3 years) 2013 1.809 Cites / Doc. (3 years) 2014 2.067 Cites / Doc. (3 years) 2015 2.247 Cites / Doc. (3 years) 2016 1.583 Cites / Doc. (3 years) 2017 1.804 Cites / Doc. (3 years) 2018 2.027 Cites / Doc. (3 years) 2019 2.231 Cites / Doc. (3 years) 2020 2.817 Cites / Doc. (2 years) 2007 0.000 Cites / Doc. (2 years) 2008 0.741 Cites / Doc. (2 years) 2009 1.000 Cites / Doc. (2 years) 2010 0.764 Cites / Doc. (2 years) 2011 1.018 Cites / Doc. (2 years) 2012 1.586 Cites / Doc. (2 years) 2013 1.750 Cites / Doc. (2 years) 2014 1.850 Cites / Doc. (2 years) 2015 1.636 Cites / Doc. (2 years) 2016 0.959 Cites / Doc. (2 years) 2017 1.714 Cites / Doc. (2 years) 2018 2.000 Cites / Doc. (2 years) 2019 2.131 Cites / Doc. (2 years) 2020 3.120 Year International Collaboration 2007 37.04 2008 29.63 2009 32.14 2010 24.14 2011 37.93 2012 58.06 2013 31.03 2014 37.84 2015 37.84 2016 21.21 2017 37.50 2018 45.45 2019 32.26 2020 44.12

  15. d

    August 2025 data-update for "Updated science-wide author databases of...

    • elsevier.digitalcommonsdata.com
    Updated Sep 19, 2025
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    John P.A. Ioannidis (2025). August 2025 data-update for "Updated science-wide author databases of standardized citation indicators" [Dataset]. http://doi.org/10.17632/btchxktzyw.8
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    Dataset updated
    Sep 19, 2025
    Authors
    John P.A. Ioannidis
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given and data on retracted papers (based on Retraction Watch database) as well as citations to/from retracted papers have been added. Scientists are classified into 22 scientific fields and 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2024 and single recent year data pertain to citations received during calendar year 2024. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (7) is based on the August 1, 2025 snapshot from Scopus, updated to end of citation year 2024. This work uses Scopus data. Calculations were performed using all Scopus author profiles as of August 1, 2025. If an author is not on the list, it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. PLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases. The c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, see attached file on FREQUENTLY ASKED QUESTIONS. Finally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. For more reading, we refer to the Leiden manifesto: https://www.nature.com/articles/520429a

  16. f

    Data from: The Brazilian and Chinese scientific publication indexed on the...

    • scielo.figshare.com
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    Updated Jun 6, 2023
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    Laura Lavínia Sabino dos Santos; Rosângela Schwarz Rodrigues; Patrícia da Silva Neubert (2023). The Brazilian and Chinese scientific publication indexed on the Web of Science: analysis of the Information Science area [Dataset]. http://doi.org/10.6084/m9.figshare.23300468.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    SciELO journals
    Authors
    Laura Lavínia Sabino dos Santos; Rosângela Schwarz Rodrigues; Patrícia da Silva Neubert
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract This study compares the profile of Brazilian and Chinese scientific publications in Information Science indexed in the Web of Science. The specific objectives are: (a) to survey the number of articles published by each country; (b) identify the characteristics of the journals in which the articles are published; and (c) identify the nationality and type of publishers that edit these journals. The Web of Science search yielded 6,417 articles, with 2,005 articles authored by Brazilian institutions and 4,412 articles authored by Chinese institutions. Of these articles, 29.5% of the Brazilian publications and the majority (99.9%) of the Chinese publications were in English. Brazilian production is published in 99 of the 221 journals, while Chinese is published in 122. Different access models were identified for the articles. Specifically, 91% of Chinese publications were accessible via subscription and 76% of the Brazilians via open access. The highest concentration of journals is in England, the United States, and the Netherlands, with an Impact Factor of less than one. Commercial publishers publish most Chinese articles (92.3%) while Brazilian articles are predominantly available through university publishers with open access repositories (72.3%). It is concluded that the scientific production in the field of Information Science from Brazil and China, as indexed in the Web of Science, exhibits diversified strategies. Brazil stands out for the indexing of national journals and publishing articles in Portuguese that are available through Open Access repositories. On the other hand, China is notable for its publication of articles in English, in journals that are already indexed in the Web of Science, and predominantly edited by commercial publishers. A more internationalized production than the Brazilian one, but with greater dependence on the system by the scientific community.

  17. Drivers and Barriers for Open Access Publishing - WoS 2016 Dataset

    • zenodo.org
    bin
    Updated Apr 24, 2025
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    Sergio Ruiz-Perez; Sergio Ruiz-Perez (2025). Drivers and Barriers for Open Access Publishing - WoS 2016 Dataset [Dataset]. http://doi.org/10.5281/zenodo.842013
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    binAvailable download formats
    Dataset updated
    Apr 24, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Sergio Ruiz-Perez; Sergio Ruiz-Perez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Answers to a survey on gold Open Access run from July to October 2016. The dataset contains 15,235 unique responses from Web of Science published authors. This survey is part of a PhD thesis from the University of Granada in Spain. More details about the study can be found in the full text document, also available in Zenodo.

    Following are listed the questions related to the WoS 2016 dataset. Please note that countries with less than 40 answers are listed as "Other" in order to preserve anonymity.

    * 1. How many years have you been employed in research?

    • Fewer than 5 years
    • 5-14 years
    • 15-24 years
    • 25 years or longer

    Many of the questions that follow concern Open Access publishing. For the purposes of this survey, an article is Open Access if its final, peer-reviewed, version is published online by a journal and is free of charge to all users without restrictions on access or use.

    * 2. Do any journals in your research field publish Open Access articles?

    • Yes
    • No
    • I do not know

    * 3. Do you think your research field benefits, or would benefit from journals that publish Open Access articles?

    • Yes
    • No
    • I have no opinion
    • I do not care

    * 4. How many peer reviewed research articles (Open Access or not Open Access) have you published in the last five years?

    • 1-5
    • 6-10
    • 11-20
    • 21-50
    • More than 50

    * 5. What factors are important to you when selecting a journal to publish in?

    [Each factor may be rated “Extremely important”, “Important”, “Less important” or “Irrelevant”. The factors are presented in random order.]

    • Importance of the journal for academic promotion, tenure or assessment
    • Recommendation of the journal by my colleagues
    • Positive experience with publisher/editor(s) of the journal
    • The journal is an Open Access journal
    • Relevance of the journal for my community
    • The journal fits the policy of my organisation
    • Prestige/perceived quality of the journal
    • Likelihood of article acceptance in the journal
    • Absence of journal publication fees (e.g. submission charges, page charges, colour charges)
    • Copyright policy of the journal
    • Journal Impact Factor
    • Speed of publication of the journal

    6. Who usually decides which journals your articles are submitted to? (Choose more than one answer if applicable)

    • The decision is my own
    • A collective decision is made with my fellow authors
    • I am advised where to publish by a senior colleague
    • The organisation that finances my research advises me where to publish
    • Other (please specify) [Text box follows]

    7. Approximately how many Open Access articles have you published in the last five years?

    • 0
    • 1-5
    • 6-10
    • More than 10
    • I do not know

    [If the answer is “0”, the survey jumps to Q10.]

    * 8. What publication fee was charged for the last Open Access article you published?

    • No charge
    • Up to €250 ($275)
    • €251-€500 ($275-$550)
    • €501-€1000 ($551-$1100)
    • €1001-€3000 ($1101-$3300)
    • More than €3000 ($3300)
    • I do not know

    [If the answer is “No charge or I don’t know” the survey jumps to Q20. ]

    * 9. How was this publication fee covered? (Choose more than one answer if applicable)

    • My research funding includes money for paying such fees
    • I used part of my research funding not specifically intended for paying such fees
    • My institution paid the fees
    • I paid the costs myself
    • Other (please specify) [Text box follows]

    * 10. How easy is it to obtain funding if needed for Open Access publishing from your institution or the organisation mainly responsible for financing your research?

    • Easy
    • Difficult
    • I have not used these sources

    * 11. Listed below are a series of statements, both positive and negative, concerning Open Access publishing. Please indicate how strongly you agree/disagree with each statement.

    [Each statement may be rated “Strongly agree”, “Agree”, “Neither agree nor disagree”, “Disagree” or “Strongly disagree”. The statements are presented in random order.]

    • Researchers should retain the rights to their published work and allow it to be used by others
    • Open Access publishing undermines the system of peer review
    • Open Access publishing leads to an increase in the publication of poor quality research
    • If authors pay publication fees to make their articles Open Access, there will be less money available for research
    • It is not beneficial for the general public to have access to published scientific and medical articles
    • Open Access unfairly penalises research-intensive institutions with large publication output by making them pay high costs for publication
    • Publicly-funded research should be made available to be read and used without access barrier
    • Open Access publishing is more cost-effective than subscription-based publishing and so will benefit public investment in research
    • Articles that are available by Open Access are likely to be read and cited more often than those not Open Access

    This study and its questionnaire are based on the SOAP Project (http://project-soap.eu). An article describing the highlights of the SOAP Survey is available at: https://arxiv.org/abs/1101.5260. The dataset of the SOAP survey is available at http://bit.ly/gSmm71. A manual describing the SOAP dataset is available at http://bit.ly/gI8nc.

  18. A list of ecology and evolution journals as of 2018

    • figshare.com
    txt
    Updated Oct 6, 2019
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    cj lortie (2019). A list of ecology and evolution journals as of 2018 [Dataset]. http://doi.org/10.6084/m9.figshare.9943526.v1
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    txtAvailable download formats
    Dataset updated
    Oct 6, 2019
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    cj lortie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A comprehensive list of ecology and evolution journals including citations, impact factor, and eigenfactor scores. Data derived from the 2018 Journal Citation Reports bibliometric tools.

  19. r

    Ancient Science of Life Impact Factor 2024-2025 - ResearchHelpDesk

    • researchhelpdesk.org
    Updated Feb 23, 2022
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    Research Help Desk (2022). Ancient Science of Life Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/447/ancient-science-of-life
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    Ancient Science of Life Impact Factor 2024-2025 - ResearchHelpDesk - Ancient Science of Life, is the oldest peer-reviewed scientific journal in Ayurveda which publishes full-length original papers and reviews on Ayurveda, allied disciplines and all forms of traditional medicines. The journal provides an interdisciplinary platform for linking traditional knowledge with the latest advancements in science. Preferences are given for contributions that interface Ayurveda with disciplines like Botany, Ethnobotany, Ethnomedicine, Ethnopharmacology, Biology, Biotechnology, Medicinal chemistry, Pharmacology, Cclinical pharmacology, Phytochemistry, Pharmacognosy, Clinical research, Animal experiments and the like. Articles on traditional medicines from the perspective of the history of medicine, medical anthropology, medical sociology, epidemiology and community medicine will also be accepted. Original literary studies covering aspects of linguistics, philology, literary criticism and critical editing of the original writings of Ayurveda and other traditional systems of medicine will also be accepted for publication. Abstracting and Indexing Information The journal is registered with the following abstracting partners: Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Hinari, Infotrieve, National Science Library, ProQuest, TdNet, Wanfang Data The journal is indexed with, or included in, the following: DOAJ, Emerging Sources Citation Index, Index Copernicus, Indian Science Abstracts, Web of Science

  20. Data from: Bibliometric analysis of multi-language veterinary journals

    • scielo.figshare.com
    jpeg
    Updated Jun 1, 2023
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    Erwin KRAUSKOPF; Fernanda GARCIA; Robert FUNK (2023). Bibliometric analysis of multi-language veterinary journals [Dataset]. http://doi.org/10.6084/m9.figshare.5718724.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Erwin KRAUSKOPF; Fernanda GARCIA; Robert FUNK
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract The purpose of this study was to investigate the association between language and total number of citations found among documents in journals written in English and other languages. We selected all the journals clustered together in the Journal Citation Reports 2014 under the subject category “Veterinary Sciences” and downloaded all the data registered between 1994-2013 by Web of Science for the journals that stated publishing documents in languages other than English. We classified each of these journals by quartile and extracted information regarding their impact factor, language(s) stated, country of origin, total number of documents published, total number of reviews published, percentage of documents published in English and the quartile in which each journal ranked. Of the 48,118 documents published by the 28 journals analyzed, 55.8% were published in English. Interestingly, although most of the journals state being multi-language, most documents published in quartile 1 journals were in English (an average of 99.2%), while the percentage was 93.1% in quartile 2 journals, 62.1% in quartile 3 journals and 27.4% in quartile 4 journals. We also confirmed that citation distribution in these journals was highly skewed. The results of this study suggest that journals should consider adopting English as the main language as this will increase citation counts and the impact factor of the journal.

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Research Help Desk (2022). Indian Journal of Science and Technology Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/246/indian-journal-of-science-and-technology

Indian Journal of Science and Technology Impact Factor 2024-2025 - ResearchHelpDesk

Explore at:
Dataset updated
Feb 23, 2022
Dataset authored and provided by
Research Help Desk
Description

Indian Journal of Science and Technology Impact Factor 2024-2025 - ResearchHelpDesk - Indian Journal of Science and Technology is an open-access journal publishing full-length research papers and review articles covering subjects that fall under the wide spectrum of science and technology. The journal is dedicated towards dissemination of knowledge related to the advancement in scientific research. The prestigious interdisciplinary editorial board reflects the diversity of subjects covered in this journal. Under the realm of science and technology, the coverage includes environmental science, pure and applied mathematics, agricultural research and engineering, biology, biotechnology, bioinformatics, Healthcare sciences (including clinical medicine, preventive medicine & public health), physics, biophysics, computer science, chemistry and bioengineering, to name a few. Indian Journal of Science and Technology is published by Indian Society for Education and Environment and co-published by Informatics (India) Ltd. The journal now brings out weekly issues June 2015 onwards and brought out monthly publications since its inception in 2007. It supports the open access policy of making scientific research accessible to one and all. Abstracted & Indexed in: Chemical Abstracts Services (CAS) J-Gate Plus Research Bible EBSCO Publishing’s Electronic Databases USA DOAJ Urlich’s Periodical Directory USA Indian Science Abstracts India Index Copernicus Poland ISI Thomson Reuters (Web of Science Zoological Record.

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