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)

The file contains the number of datasets published by the researchers affiliated to Most Wiedzy and indexed in Data Citation Index by Web of Science. The Search was perfprmed using the name of institution in the 'assress' filed or 'group author' field. Data retrieved and published during the 5th Open Science Conference (1-3.12.2021).

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.

Journals & Ranking

An academic journal or research journal is a periodical publication in which research articles relating to a particular academic discipline is published, according to Wikipedia. Currently, there are more than 25,000 peer-reviewed journals that are indexed in citation index databases such as Scopus and Web of Science. These indexes are ranked on the basis of various metrics such as CiteScore, H-index, etc. The metrics are calculated from yearly citation data of the journal. A lot of efforts are given to make a metric that reflects the journal's quality.

Journal Ranking Dataset

This is a comprehensive dataset on the academic journals coving their metadata information as well as citation, metrics, and ranking information. Detailed data on their subject area is also given in this dataset. The dataset is collected from the following indexing databases: - Scimago Journal Ranking - Scopus - Web of Science Master Journal List

The data is collected by scraping and then it was cleaned, details of which can be found in HERE.

Key Features

• Rank: Overall rank of journal (derived from sorted SJR index).
• Title: Name or title of journal.
• OA: Open Access or not.
• Country: Country of origin.
• SJR-index: A citation index calculated by Scimago.
• CiteScore: A citation index calculated by Scopus.
• H-index: Hirsh index, the largest number h such that at least h articles in that journal were cited at least h times each.
• Best Quartile: Top Q-index or quartile a journal has in any subject area.
• Best Categories: Subject areas with top quartile.
• Best Subject Area: Highest ranking subject area.
• Best Subject Rank: Rank of the highest ranking subject area.
• Total Docs.: Total number of documents of the journal.
• Total Docs. 3y: Total number of documents in the past 3 years.
• Total Refs.: Total number of references of the journal.
• Total Cites 3y: Total number of citations in the past 3 years.
• Citable Docs. 3y: Total number of citable documents in the past 3 years.
• Cites/Doc. 2y: Total number of citations divided by the total number of documents in the past 2 years.
• Refs./Doc.: Total number of references divided by the total number of documents.
• Publisher: Name of the publisher company of the journal.
• Core Collection: Web of Science core collection name.
• Coverage: Starting year of coverage.
• Active: Active or inactive.
• In-Press: Articles in press or not.
• ISO Language Code: Three-letter ISO 639 code for language.
• ASJC Codes: All Science Journal Classification codes for the journal.

Rest of the features provide further details on the journal's subject area or category: - Life Sciences: Top level subject area. - Social Sciences: Top level subject area. - Physical Sciences: Top level subject area. - Health Sciences: Top level subject area. - 1000 General: ASJC main category. - 1100 Agricultural and Biological Sciences: ASJC main category. - 1200 Arts and Humanities: ASJC main category. - 1300 Biochemistry, Genetics and Molecular Biology: ASJC main category. - 1400 Business, Management and Accounting: ASJC main category. - 1500 Chemical Engineering: ASJC main category. - 1600 Chemistry: ASJC main category. - 1700 Computer Science: ASJC main category. - 1800 Decision Sciences: ASJC main category. - 1900 Earth and Planetary Sciences: ASJC main category. - 2000 Economics, Econometrics and Finance: ASJC main category. - 2100 Energy: ASJC main category. - 2200 Engineering: ASJC main category. - 2300 Environmental Science: ASJC main category. - 2400 Immunology and Microbiology: ASJC main category. - 2500 Materials Science: ASJC main category. - 2600 Mathematics: ASJC main category. - 2700 Medicine: ASJC main category. - 2800 Neuroscience: ASJC main category. - 2900 Nursing: ASJC main category. - 3000 Pharmacology, Toxicology and Pharmaceutics: ASJC main category. - 3100 Physics and Astronomy: ASJC main category. - 3200 Psychology: ASJC main category. - 3300 Social Sciences: ASJC main category. - 3400 Veterinary: ASJC main category. - 3500 Dentistry: ASJC main category. - 3600 Health Professions: ASJC main category.

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

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

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

Highly Cited Artificial Intelligence Publications in Science Citation Index Expanded.xlsx Format

Introduction

This note describes the data sets used for all analyses contained in the manuscript 'Oxytocin - a social peptide?’[1] that is currently under review.

Data Collection

The data sets described here were originally retrieved from Web of Science (WoS) Core Collection via the University of Edinburgh’s library subscription [2]. The aim of the original study for which these data were gathered was to survey peer-reviewed primary studies on oxytocin and social behaviour. To capture relevant papers, we used the following query:

TI = (“oxytocin” OR “pitocin” OR “syntocinon”) AND TS = (“social*” OR “pro$social” OR “anti$social”)

The final search was performed on the 13 September 2021. This returned a total of 2,747 records, of which 2,049 were classified by WoS as ‘articles’. Given our interest in primary studies only – articles reporting original data – we excluded all other document types. We further excluded all articles sub-classified as ‘book chapters’ or as ‘proceeding papers’ in order to limit our analysis to primary studies published in peer-reviewed academic journals. This reduced the set to 1,977 articles. All of these were published in the English language, and no further language refinements were unnecessary.

All available metadata on these 1,977 articles was exported as plain text ‘flat’ format files in four batches, which we later merged together via Notepad++. Upon manually examination, we discovered examples of papers classified as ‘articles’ by WoS that were, in fact, reviews. To further filter our results, we searched all available PMIDs in PubMed (1,903 had associated PMIDs - ~96% of set). We then filtered results to identify all records classified as ‘review’, ‘systematic review’, or ‘meta-analysis’, identifying 75 records 3. After examining a sample and agreeing with the PubMed classification, these were removed these from our dataset - leaving a total of 1,902 articles.

From these data, we constructed two datasets via parsing out relevant reference data via the Sci2 Tool [4]. First, we constructed a ‘node-attribute-list’ by first linking unique reference strings (‘Cite Me As’ column in WoS data files) to unique identifiers, we then parsed into this dataset information on the identify of a paper, including the title of the article, all authors, journal publication, year of publication, total citations as recorded from WoS, and WoS accession number. Second, we constructed an ‘edge-list’ that records the citations from a citing paper in the ‘Source’ column and identifies the cited paper in the ‘Target’ column, using the unique identifies as described previously to link these data to the node-attribute-list.

We then constructed a network in which papers are nodes, and citation links between nodes are directed edges between nodes. We used Gephi Version 0.9.2 [5] to manually clean these data by merging duplicate references that are caused by different reference formats or by referencing errors. To do this, we needed to retain both all retrieved records (1,902) as well as including all of their references to papers whether these were included in our original search or not. In total, this produced a network of 46,633 nodes (unique reference strings) and 112,520 edges (citation links). Thus, the average reference list size of these articles is ~59 references. The mean indegree (within network citations) is 2.4 (median is 1) for the entire network reflecting a great diversity in referencing choices among our 1,902 articles.

After merging duplicates, we then restricted the network to include only articles fully retrieved (1,902), and retrained only those that were connected together by citations links in a large interconnected network (i.e. the largest component). In total, 1,892 (99.5%) of our initial set were connected together via citation links, meaning a total of ten papers were removed from the following analysis – and these were neither connected to the largest component, nor did they form connections with one another (i.e. these were ‘isolates’).

This left us with a network of 1,892 nodes connected together by 26,019 edges. It is this network that is described by the ‘node-attribute-list’ and ‘edge-list’ provided here. This network has a mean in-degree of 13.76 (median in-degree of 4). By restricting our analysis in this way, we lose 44,741 unique references (96%) and 86,501 citations (77%) from the full network, but retain a set of articles tightly knitted together, all of which have been fully retrieved due to possessing certain terms related to oxytocin AND social behaviour in their title, abstract, or associated keywords.

Before moving on, we calculated indegree for all nodes in this network – this counts the number of citations to a given paper from other papers within this network – and have included this in the node-attribute-list. We further clustered this network via modularity maximisation via the Leiden algorithm [6]. We set the algorithm to resolution 1, and allowed the algorithm to run over 100 iterations and 100 restarts. This gave Q=0.43 and identified seven clusters, which we describe in detail within the body of the paper. We have included cluster membership as an attribute in the node-attribute-list.

Data description

We include here two datasets: (i) ‘OTSOC-node-attribute-list.csv’ consists of the attributes of 1,892 primary articles retrieved from WoS that include terms indicating a focus on oxytocin and social behaviour; (ii) ‘OTSOC-edge-list.csv’ records the citations between these papers. Together, these can be imported into a range of different software for network analysis; however, we have formatted these for ease of upload into Gephi 0.9.2. Below, we detail their contents:

1. ‘OTSOC-node-attribute-list.csv’ is a comma-separate values file that contains all node attributes for the citation network (n=1,892) analysed in the paper. The columns refer to:

Id, the unique identifier

Label, the reference string of the paper to which the attributes in this row correspond. This is taken from the ‘Cite Me As’ column from the original WoS download. The reference string is in the following format: last name of first author, publication year, journal, volume, start page, and DOI (if available).

Wos_id, unique Web of Science (WoS) accession number. These can be used to query WoS to find further data on all papers via the ‘UT= ’ field tag.

Title, paper title.

Authors, all named authors.

Journal, journal of publication.

Pub_year, year of publication.

Wos_citations, total number of citations recorded by WoS Core Collection to a given paper as of 13 September 2021

Indegree, the number of within network citations to a given paper, calculated for the network shown in Figure 1 of the manuscript.

Cluster, provides the cluster membership number as discussed within the manuscript (Figure 1). This was established via modularity maximisation via the Leiden algorithm (Res 1; Q=0.43|7 clusters)

1. ‘OTSOC-edge -list.csv’ is a comma-separate values file that contains all citation links between the 1,892 articles (n=26,019). The columns refer to:

Source, the unique identifier of the citing paper.

Target, the unique identifier of the cited paper.

Type, edges are ‘Directed’, and this column tells Gephi to regard all edges as such.

Syr_date, this contains the date of publication of the citing paper.

Tyr_date, this contains the date of publication of the cited paper.

Software recommended for analysis

Gephi version 0.9.2 was used for the visualisations within the manuscript, and both files can be read and into Gephi without modification.

Notes

[1] Leng, G., Leng, R. I., Ludwig, M. (Submitted). Oxytocin – a social peptide? Deconstructing the evidence.

[2] Edinburgh University’s subscription to Web of Science covers the following databases: (i) Science Citation Index Expanded, 1900-present; (ii) Social Sciences Citation Index, 1900-present; (iii) Arts & Humanities Citation Index, 1975-present; (iv) Conference Proceedings Citation Index- Science, 1990-present; (v) Conference Proceedings Citation Index- Social Science & Humanities, 1990-present; (vi) Book Citation Index– Science, 2005-present; (vii) Book Citation Index– Social Sciences & Humanities, 2005-present; (viii) Emerging Sources Citation Index, 2015-present.

[3] For those interested, the following PMIDs were identified as ‘articles’ by WoS, but as ‘reviews’ by PubMed: ‘34502097’ ‘33400920’ ‘32060678’ ‘31925983’ ‘31734142’ ‘30496762’ ‘30253045’ ‘29660735’ ‘29518698’ ‘29065361’ ‘29048602’ ‘28867943’ ‘28586471’ ‘28301323’ ‘27974283’ ‘27626613’ ‘27603523’ ‘27603327’ ‘27513442’ ‘27273834’ ‘27071789’ ‘26940141’ ‘26932552’ ‘26895254’ ‘26869847’ ‘26788924’ ‘26581735’ ‘26548910’ ‘26317636’ ‘26121678’ ‘26094200’ ‘25997760’ ‘25631363’ ‘25526824’ ‘25446893’ ‘25153535’ ‘25092245’ ‘25086828’ ‘24946432’ ‘24637261’ ‘24588761’ ‘24508579’ ‘24486356’ ‘24462936’ ‘24239932’ ‘24239931’ ‘24231551’ ‘24216134’ ‘23955310’ ‘23856187’ ‘23686025’ ‘23589638’ ‘23575742’ ‘23469841’ ‘23055480’ ‘22981649’ ‘22406388’ ‘22373652’ ‘22141469’ ‘21960250’ ‘21881219’ ‘21802859’ ‘21714746’ ‘21618004’ ‘21150165’ ‘20435805’ ‘20173685’ ‘19840865’ ‘19546570’ ‘19309413’ ‘15288368’ ‘12359512’ ‘9401603’ ‘9213136’ ‘7630585’

[4] Sci2 Team. (2009). Science of Science (Sci2) Tool. Indiana University and SciTech Strategies. Stable URL: https://sci2.cns.iu.edu

[5] Bastian, M., Heymann, S., & Jacomy, M. (2009).

Supplementary material to an analysis on data citation practices based on the Data Citation Index from Thomson Reuters. This database launched in 2012 aims to link data sets and data studies with citation received from the rest of their citation indexes. Funding bodies and research organizations are increasingly demanding the need of researchers to make their scientific data available in a reusable and reproducible manner, aiming to maximize the allocation of funding while providing transparency on the scientific process. The DCI harvests citations to research data from papers indexed in the Web of Knowledge. It relies on the information provided by the data repository as data citation practices are inconsistent or inexistent in many cases. The findings of this study show that data citation practices are far from common in most research fields.. Some differences have been reported on the way researchers cite data: while in the areas of Science and Engineering & Technology data sets were the most cited, in Social Sciences and Arts & Humanities data studies play a greater role. 88.1% of the records have received no citation, but some repositories show very low uncitedness rates. While data citation practices are rare in most fields, they have expanded in disciplines such as Crystallography or Genomics. We conclude by emphasizing the role the DCI may play to encourage consistent and standardized citation of research data which will allow considering its use on following the research process developed by researchers, from data collection to publication.

Procedia computer science Impact Factor 2024-2025 - ResearchHelpDesk - Launched in 2009, Procedia Computer Science is an electronic product focusing entirely on publishing high quality conference proceedings. Procedia Computer Science enables fast dissemination so conference delegates can publish their papers in a dedicated online issue on ScienceDirect, which is then made freely available worldwide. Conference proceedings are accepted for publication in Procedia Computer Science based on quality and are therefore required to meet certain criteria, including quality of the conference, relevance to an international audience and covering highly cited or timely topics. Procedia Computer Science will cover proceedings in all topics of Computer Science with the exception of certain workshops in Theoretical Computer Science, as our Electronic Notes in Theoretical Computer Science http://www.elsevier.com/locate/entcs are the primary outlet for these papers. The journal is indexed in Scopus, the largest abstract and citation database of peer-reviewed literature. Copyright information For authors publishing in Procedia Computer Science, accepted manuscript will be governed by CC BY-NC-ND. For further details see our copyright information. What does Procedia Computer Science offer authors and conferences organizers? Procedia Computer Science offers a single, highly recognized platform where conference papers can be hosted and accessed by millions of researchers. Authors then know where to go to keep abreast of the latest developments in their field, and get maximum exposure for their own work. All proceedings appear online, on Science Direct, within 8 weeks of acceptance of the final manuscripts via the conference organizer and are freely available to all users. To ensure discoverability and citability the final online papers are individually metadated, XML versions are optimized for search engines, references are linked, and DOI (Digital Object Identifier) numbers are added. Why should conference organizers choose Procedia Computer Science? Unlike regular printed conference publications, there is no practical limit to the amount of papers a Procedia Computer Science issue can contain and pricing is affordable, clear and transparent, offering organizers a state of the art platform for their conference in a cost effective and sustainable manner. Procedia Computer Science offers immediate access for all, with papers online within 8 weeks of acceptance, and free access providing maximum exposure for individual papers and the related conference. Conference delegates can thus access the papers from anywhere on the web during and post conference. Organizers are credited on the actual issue and are fully responsible for quality control, the review process and the content of individual conference papers. To assist conference organizers in the publication process templates (both Latex and Word) are provided. What is the process for submitting conference proceedings to Procedia Computer Science? Proposals should include a synopsis of why such a Procedia Computer Science issue will have an impact on its community, the (sub) fields covered, and an outline of the related conference (or conferences / satellite events) with links to the conference website and pervious proceedings where possible. Please include a tentative list of the steering committee / program committee, a short description of the conference peer review standards (acceptance rate, reviewer selection, etc) as well as estimates of number of conference delegates and number of papers to be accepted for publication. Proposals should be prepared using the template here Please note that we do not accept proposals from individual authors for Procedia titles. What are the costs associated with Procedia Computer Science? There is an agreed fee, based on the size of the proceedings, which includes online publication on ScienceDirect and free access after acceptance. In addition to the online version there is the possibility to purchase paper copies, CD-ROMs and USB sticks. Moreover, interactive media possibilities such as webcasts and web seminars can be acquired for extra exposure both before and after the conference. Can Procedia Computer Science be sponsored? We are open to discussing sponsoring possibilities at all times. Sponsors can include funding bodies, government agencies and/or industry. Benefits to sponsors include visibility amongst a scientific audience and the opportunity to communicate messages via a peer-reviewed platform. Benefits to authors and conference organizers are the further dissemination of material to an international audience and even more reduced costs to the overall conference budget. What more can Elsevier do to help computer science conference organizers? We are open to discuss even further collaboration, including but not limited to providing global organizational and administrative services, assisting with the setup of new multidisciplinary meetings. Contact your Elsevier Computer Science Publisher for more information. Abstracting and Indexing Conference Proceedings Citation Index Scopus

Last Version: 4

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/12/15

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v4.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v4.csv: full list of 140 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 4th version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR), Scopus and Web of Science (WOS), Journal Master List.

Version: 3

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/10/28

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v3.xlsx: full list of 124 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_3.csv: full list of 124 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 3rd version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR).

Erratum - Data articles in journals Version 3:

Botanical Studies -- ISSN 1999-3110 -- JCR (JIF) Q2
Data -- ISSN 2306-5729 -- JCR (JIF) n/a
Data in Brief -- ISSN 2352-3409 -- JCR (JIF) n/a

Version: 2

Author: Francisco Rubio, Universitat Politècnia de València.

Date of data collection: 2020/06/23

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v2.xlsx: full list of 56 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v2.csv: full list of 56 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 2nd version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Scimago Journal and Country Rank (SJR)

Total size: 32 KB

Version 1: Description

This dataset contains a list of journals that publish data articles, code, software articles and database articles.

The search strategy in DOAJ and Ulrichsweb was the search for the word data in the title of the journals.
Acknowledgements:
Xaquín Lores Torres for his invaluable help in preparing this dataset.

The NIF Registry developed and maintained by the Neuroscience Information Framework is a cooperative project aimed at cataloging research resources, e.g., software tools, databases and tissue banks, funded largely by governments and available as tools to research scientists. Although originally conceived for neuroscience, the NIF Registry has over the years broadened in the scope to include research resources of general relevance to biomedical research. The current number of research resources listed by the Registry numbers over 13K. The broadening in scope to biomedical science led us to re-christen the NIF Registry platform as SciCrunch. The NIF/SciCrunch Registry has been cataloging the resource landscape since 2006; as such, it serves as a valuable dataset for tracking the breadth, fate and utilization of these resources. Our experience shows research resources like databases are dynamic objects, that can change location and scope over time. Although each record is entered manually and human-curated, the current size of the registry requires tools that can aid in curation efforts to keep content up to date, including when and where such resources are used. To address this challenge, we have developed an open source tool suite, collectively termed RDW: Resource Disambiguator for the (Web). RDW is designed to help in the upkeep and curation of the registry as well as in enhancing the content of the registry by automated extraction of resource candidates from the literature. The RDW toolkit includes a URL extractor from papers, resource candidate screen, resource URL change tracker, resource content change tracker. Curators access these tools via a web based user interface. Several strategies are used to optimize these tools, including supervised and unsupervised learning algorithms as well as statistical text analysis. The complete tool suite is used to enhance and maintain the resource registry as well as track the usage of individual resources through an innovative literature citation index honed for research resources. Here we present an overview of the Registry and show how the RDW tools are used in curation and usage tracking.

Dataset accompanying two blogposts:

https://101innovations.wordpress.com/2018/12/05/oa-potential-journals-and-publications-across-disciplines/

https://101innovations.wordpress.com/2018/12/05/gold-oa-journals-in-wos-and-doaj/

In the proposed implementation guidelines for Plan S, it has become clear there will be, for the coming years at least, three ways to open access (OA) that are compliant with Plan S:

publication in full open access journals and platforms

deposit in open access repositories of author accepted manuscript (AAM) or publisher version (VOR)

publishing in hybrid journals that are part of transformative agreements

Additional requirements concern copyright (copyright retention by authors or institutions), licensing (CC-BY, CC-BY-SA or CC0), embargo periods (no embargo's) and technical requirements for open access journals, platforms and repositories.

To get a first indication as to what that potential for open access is across different disciplines, we looked at a particular subset of journals, namely those in Web of Science. For a number of (sub)disciplines, we identified the proportion of full gold, hybrid and closed journals in Web of Science, as well as the proportion of hybrid and closed journals that allows green open access by archiving AAM/VOR in repositories. We also looked at the number of publications from 2017 (articles & reviews) that were actually made open access (or not) under each of these models.

We fully acknowledge the practical decision toi use Web of Science leads to limitation and bias in the results. In particular this concerns a bias against:

recently launched journals

non-traditional journal types

smaller journals not (yet) meeting the technical requirements of WoS

journals in languages other than English

journals from non-Western regions

To further explore this bias, and give context to the interpretation of results derived from looking at full gold OA journals in Web of Science only, we analyzed the inclusion of DOAJ journals in WoS per major discipline.

We also looked at the proportion of DOAJ journals (and articles/reviews therein) in different parts of the Web of Science Core Collection that we used: either in the Science Citation Index Expanded (SCIE) / Social Sciences Citation Index (SSCI) /Arts & Humanities Citation Index (AHCI), or in the Emerging Sources Citation Index (ESCI).

Data sharing is key for replication and re-use in empirical research. Scientific journals can play a central role by establishing data policies and providing technologies. In this study factors of influence for data sharing are analyzed by investigating journal data policies and author behavior in sociology. The websites of 140 journals from sociology were consulted to check their data policy. The results are compared with similar studies from political science and economics. For five selected journals with a broad variety all articles from two years are examined to see if authors really cite and share their data, and which factors are related to this. Inhaltscodierung Internetbeobachtung Content Analysis Web-based observation Journals of the 2013 Social Science Citation Index; Articles from 5 selected journals in 2012 and 2013. Full selection of the journals in the 2013 Social Science Citation Index in the category "sociology"; All articles from 5 selected journals in 2012 and 2013.

The dataset comprises a single list of datasets exported from Data Citation Index (Web of Science, Clarivate Analytics) in the Astronomy and Astrophysics category, for the period 2010 - 2019, allowing to identify annual evolution, countries and institutions with higher productivity, main repositories and hosting platforms, use in publications indexed in Web of Science.

Data enclosed in a single zipped folder:

A) DASH-V2 : Data files for final published analysis (J. Informetrics, 2019)

File A1: PubData_DOI_141986_Nc_0_2019.dta

File A2: PubData_DOI_141986_Nc_0_2019_DOFILE

B) DASH-V1 : Data files for preprint version (https://ssrn.com/abstract=2901272)

File B1: PubData_Obs_102741_Nc_10_No2015_CitationsAnalysis.dta

File B2: PubData_Obs_128734_Nc_10_AcceptanceTimeAnalysis.dta

File B3: STATA13_DOFILE

C) Data description common to all .dta files, which contain parsed and merged PLOS ONE and Web of Science metadata:

File A3: UC-DASH_DataDescription_Petersen_V2.pdf

File B4: UC-DASH_DataDescription_Petersen_V1.pdf

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)

Distribution of book chapters and books indexed in Thomson Scientific's Book Citation Index within the Web of Science subject category "Sociology" by language and country.

Indian journal of pharmaceutical sciences Abstract & Indexing - ResearchHelpDesk - Indian Journal of Pharmaceutical Sciences (0250-474X), is the official scientific publication of the Indian Pharmaceutical Association. It started in 1939 as the Indian Journal of Pharmacy. the journal is published Bimonthly. Abstracting and Indexing Information The journal is included in the following Abstracting / Indexing services: Biosis Preview, Chemical Abstract Service (CAS), CNKI (China National Knowledge Infrastructure), Centre for Agriculture and Biosciences International (CABI), Cite Factor, EBSCO A-Z, Ex-Libris, Hamdard University, Journal TOCs, JournalSeek, Journal Citation Reports, Open J Gate, Publons, Proquest Summons, Refseek, Secret Search Engine Labs, Sherpa Romeo, SCOPUS, Science Citation Index Expanded, SJR (Scimago Journal and Country Rank), UGC (University Grants Commission), Ulrich Periodical Directory, World Cat - OCLC and Web of Science. Journal Ethics The Indian Journal of Pharmacy started in 1939 as "a quarterly journal devoted to the Science and practice of Pharmacy in all its branches". The Chief Editor and the main guiding force behind the 'Journal' was Prof. M. L. Schroff, Head of the Department of Pharmaceutics, Benaras Hindu University, Benaras. Owing to various difficulties experienced in publishing the 'Journal" at Benaras, the Council of IPA decided in 1946 to entrust the task to its Bombay Branch, and to transfer the editorial and publication offices to Bombay. Prof. M. L. Khorana, Head of the Pharmaceuticals Section, Department of Chemical Technology, Bombay University was requested to take the Editorship. In 1949 it was decided to publish this journal bi-monthly instead of quarterly. Soon after from January 1950 this journal started coming out as a monthly periodical. While Mr. S. P. Mukherji worked as Assistant Editor from 1946 to 1952, in May 1950 Mr. N. S. Bhunvara joined as the second Assistant Editor. The Headquarters of the IPA was shifted to Bombay with effect from 1st January 1953 and this helped considerably the publication of this journal and its circulation to members. Prof. Khorana resigned as Editor of the journal with effect from 1 January 1954 and Dr. G. B. Ramasarma succeeded him as the Editor and Mr. A. I. Mehta and Dr. R. S. Baichwal joined as Assistant Editors. In 1955 July, the journal’s office together with those of the Association and the Bombay State Branch was shifted from U. D. C. T., Matunga to Kalam Kutir 213-219, Frere Road, Bombay - 1. From 1959, Mr. L. S. Patel joined as the third Assistant Editor. In 1963, the Indian Journal of Pharmacy celebrated its Silver Jubilee. A detailed history of the Journal was published in the journal (IJP, 1963, 25, 8-17). The year 1969 represented an important milestone in the history of IJP. From this year it changed its character from that of “the official publication” of the IPA to that of "the official scientific publication" of the association. Publication of professional and other general articles and Association News was taken over by a new monthly periodical called "Pharma Times" with Mr. A. I. Mehta as its Editor. The IJP became an exclusively scientific journal and the frequency of its publication was reduced to that of a bimonthly. Dr. R. S. Baichwal took over as the first Editor of this Journal. In 1979 the name of IJP was expanded to the 'Indian Journal of Pharmaceutical Sciences'. In 1986, Dr. C. L. Kaul joined as the Associated Editor, went on to become the Editor in 1992, and continued till 1996. Dr. Rao V. S. V. Vadlamudi joined the editorial team as the Associate Editor in 1994, became the Editor in 1996, and continued till 2013. Dr. Divakar Goli is elected as the Editor for IJPS in 2014 and continues till date. The journal changed its get-up in 2000 and became online in 2006 with the journal website www.ijpsonline.com. Currently it is available as a print version with a circulation of about 800 and also available online. Indian Pharmaceutical Association The Indian Pharmaceutical Association (IPA) is the oldest premier association of pharmaceutical professionals in India, with a member base of over 13,000, spread across the length and breadth of the country. IPA operates in India through 20 state branches and more than 45 local branches. The members represent various facets of pharmaceutical profession viz., industry, regulatory, community and hospital pharmacy practices, and education. As a member of the Drug Technical Advisory Board, India, IPA is actively involved in advising the government on matters of professional importance. IPA is affiliated with international pharma associations like FIP, FAPA, CPA, AAPS, AAiPS, IPSF and is working with international bodies such as WHO and WHPA for carrying out various collaborative professional activities that include organizing training programs for professionals from industry, academics, regulatory and practice. IPA makes representations to the authorities on matters of professional interest and works constantly towards upgrading the standards of pharmacy professional services offered by the pharmacists. IPA’s major objective is to position pharmacists as one of the important healthcare providers in our country. The IPA is committed to promote the highest professional and ethical standards of pharmacy, focus the image of pharmacists as competent healthcare professionals, sensitize the community, government, and others on vital professional issues and support pharmaceutical education and sciences in all aspects. RG Journal Impact: 0.15 * *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 0.15 2017 0.50 2016 0.35 2015 1.21 2014 1.04 2013 0.46 2012 0.82 2011 0.05 2010 0.22 2009 0.69 2008 0.56 2007 0.28 2006 0.55 2005 0.14 2002 0.19 The Indian Journal of Pharmacy Details Indian Journal of Pharmacy H Index: 50 Publication Type: Journals Coverage: 1978-ongoing Subject Area and Category Pharmacology, Toxicology and Pharmaceutics, Pharmaceutical Science Pharmaceutical Technology, Pharmaceutics, Biopharmaceutics, Pharmacokinetics, Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmacognosy and Phytochemistry, Pharmacology and Therapeutics, Pharmaceutical Analysis, Pharmacy Practice, Clinical and Hospital Pharmacy, Pharmacovigilance, Pharmacoepidemiology, Pharmacoeconomics, Drug Information, Patient Counselling, Adverse Drug Reactions Monitoring, Medication Errors, Medication Optimization, Medication Therapy Management, Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics and Biotechnology of Pharmaceutical Interest