Nature Methods Impact Factor 2024-2025 - ResearchHelpDesk - Nature Methods is a monthly journal publishing novel methods and significant improvements to basic life sciences research techniques. All editorial decisions are made by a team of full-time professional editors. Nature Methods is a forum for the publication of novel methods and significant improvements to tried-and-tested basic research techniques in the life sciences. This monthly publication is aimed at a broad, interdisciplinary audience of academic and industry researchers actively involved in laboratory practice. It provides them with new tools to conduct their research and places a strong emphasis on the immediate practical relevance of the work presented. The journal publishes primary research papers as well as overviews of recent technical and methodological developments. We are actively seeking primary methods papers of relevance to the biological and biomedical sciences, including methods grounded in chemistry that have a practical application to the study of biological problems. To enhance the practical relevance of each paper, description of the method must be accompanied by its validation, its application to an important biological question and results illustrating its performance in comparison to available approaches. Articles are selected for publication that present broad interest, thorough assessments of methodological performance and comprehensive technical descriptions that facilitate immediate application. Specific areas of interest include, but are not limited to: Methods for nucleic acid manipulation, amplification and sequencing Methods for protein engineering, expression and purification Methods for proteomics, including mass spectrometry, analysis of binding interactions, microarray-based technologies, display techniques, analysis of post-translational modifications, glycobiology and metabolomics Methods for systems biology, including proteomics approaches, protein interaction analysis methods and genome wide expression and regulation profiling Biomolecular structural analysis technologies, including NMR and crystallography Chemical biology techniques, including chemical labeling, methods for expanding the genetic code and directed evolution Biophysical methods, including single molecule and lab-on-a-chip technologies Optical and non-optical imaging technologies, including probe design and labeling methods, microscopy, spectroscopy and in vivo imaging Techniques for the analysis and manipulation of gene expression, including epigenetics, gene targeting, transduction, RNA interference and microarray-based technologies Methods for cell culture and manipulation, including stem cells, single cell methods and lab-on-a-chip technologies Immunological techniques, including production of antibodies, antibody-based assays and immunolabeling Methods for the study of physiology and disease processes including cancer Methods involving model organisms and their manipulation and phenotyping Computational and bioinformatic methods for analysis, modeling or visualization of biological data Nanotechnology-based methods applied to basic biology

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

Journal of methods and measurement in the social sciences Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Methods and Measurement in the Social Sciences (JMM) is an online scholarly publication focusing on methodology and research design, measurement, and data analysis – providing a new venue for unique and interesting contributions in these study areas which frequently overlap. Focus and Scope The Journal of Methods and Measurement in the Social Sciences (JMM) publishes articles related to methodology and research design, measurement, and data analysis. The journal is published twice yearly, and features theoretical, empirical, and educational articles. JMM is meant to further our understanding of methodology and how to formulate the right questions. It is broadly concerned with improving the methods used to conduct research, the measurement of variables used in the social sciences, and improving the applications of data analysis. In addition to research articles, JMM welcomes instructional articles and brief reports or commentaries. We welcome sound, original contributions.

European journal of research methods for the behavioral and social sciences Impact Factor 2024-2025 - ResearchHelpDesk - Methodology is the successor of the two journals Metodologia de las Ciencias del Comportamiento and Methods of Psychological Research-Online (MPR-Online). Methodology is the official organ of the European Association of Methodology (EAM), a union of methodologists working in different areas of the social and behavioral sciences (e.g., psychology, sociology, economics, educational and political sciences). The journal provides a platform for interdisciplinary exchange of methodological research and applications in the different fields, including new methodological approaches, review articles, software information, and instructional papers that can be used in teaching. Three main disciplines are covered: data analysis, research methodology, and psychometrics. The articles published in the journal are not only accessible to methodologists but also to more applied researchers in the various disciplines. Abstract & indexing Social Sciences Citation Index (SSCI), Current Contents/Social & Behavioral Sciences (CC/S&BS) (since 2009), PsycINFO, PSYNDEX, ERIH and Scopus.

This graph shows how the impact factor of ^ is computed. The left axis depicts the number of papers published in years X-1 and X-2, and the right axis displays their citations in year X.

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

The Journal Impact Factor is often used as a proxy measure for journal quality, but the empirical evidence is scarce. In particular, it is unclear how peer review characteristics for a journal relate to its impact factor. We analysed 10,000 peer review reports submitted to 1,644 biomedical journals with impact factors ranging from 0.21 to 74.7. Two researchers hand-coded sentences using categories of content related to the thoroughness of the review (Materials and Methods, Presentation and Reporting, Results and Discussion, Importance and Relevance) and helpfulness (Suggestion and Solution, Examples, Praise, Criticism). We fine-tuned and validated transformer machine learning language models to classify sentences. We then examined the association between the number and percentage of sentences addressing different content categories and 10 groups defined by the Journal Impact Factor. The median length of reviews increased with higher impact factor, from 185 words (group 1) to 387 words (group 10). The percentage of sentences addressing Materials and Methods was greater in the highest Journal Impact Factor journals than in the lowest Journal Impact Factor group. The results for Presentation and Reporting went in the opposite direction, with the highest Journal Impact Factor journals giving less emphasis to such content. For helpfulness, reviews for higher impact factor journals devoted relatively less attention to Suggestion and Solution than lower impact factor journals. In conclusion, peer review in journals with higher impact factors tends to be more thorough, particularly in addressing study methods while giving relatively less emphasis to presentation or suggesting solutions. Differences were modest and variability high, indicating that the Journal Impact Factor is a bad predictor of the quality of peer review of an individual manuscript.

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

Background: The assessment of scientific publications is an integral part of the scientific process. Here we investigate three methods of assessing the merit of a scientific paper: subjective post-publication peer review, the number of citations gained by a paper and the impact factor of the journal in which the article was published. Methodology/principle findings: We investigate these methods using two datasets in which subjective post-publication assessments of scientific publications have been made by experts. We find that there are moderate, but statistically significant, correlations between assessor scores, when two assessors have rated the same paper, and between assessor score and the number of citations a paper accrues. However, we show that assessor score depends strongly on the journal in which the paper is published, and that assessors tend to over-rate papers published in journals with high impact factors. If we control for this bias, we find that the correlation between assessor scores and between assessor score and the number of citations is weak, suggesting that scientists have little ability to judge either the intrinsic merit of a paper or its likely impact. We also show that the number of citations a paper receives is an extremely error-prone measure of scientific merit. Finally, we argue that the impact factor is likely to be a poor measure of merit, since it depends on subjective assessment. Conclusions: We conclude that the three measures of scientific merit considered here are poor; in particular subjective assessments are an error-prone, biased and expensive method by which to assess merit. We argue that the impact factor may be the most satisfactory of the methods we have considered, since it is a form of pre-publication review. However, we emphasise that it is likely to be a very error-prone measure of merit that is qualitative, not quantitative.

The number of authors on research articles in six journals through time. The area of each circle corresponds to the number of publications with that publication number for that year. To aid in visual interpretation of the data, a generalized additive model was fitted to the data. For ease of interpretation, the number of authors is truncated at 100, meaning that publications with >100 coauthors are plotted here as just including 101 coauthors.

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

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

Journal of agricultural economics Impact Factor 2024-2025 - ResearchHelpDesk - Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. A leading journal for the discipline worldwide - consistently highly ranked in the Agricultural Economics & Policy category of ISI A dynamic, international, applied social science journal dealing with agriculture, food and related industries, rural development and the environment Articles on developments in research and methods of analysis as well as the application of existing methods and techniques to new problems and situations Aims and Scope Published on behalf of the Agricultural Economics Society, the Journal of Agricultural Economics is a leading international professional journal, providing a forum for research into agricultural economics and related disciplines such as statistics, marketing, business management, politics, history and sociology, and their application to issues in the agricultural, food, and related industries; rural communities, and the environment. Each issue of the JAE contains articles, notes and book reviews as well as information relating to the Agricultural Economics Society. Published 3 times a year, it is received by members and institutional subscribers in 69 countries. With contributions from leading international scholars, the JAE is a leading citation for agricultural economics and policy. Published articles either deal with new developments in research and methods of analysis, or apply existing methods and techniques to new problems and situations which are of general interest to the Journal’s international readership. Journal of Agricultural Economics - Keywords Agricultural economics, agriculture, resource economics, technical efficiency, consumer behaviour, contingent valuation, stated preference, willingness to pay, choice experiments, revealed preference, switching regression. Abstracting & Indexing Details Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) AgBiotech News & Information (CABI) AgeLine Database (EBSCO Publishing) AGRICOLA Database (National Agricultural Library) Agricultural & Environmental Science Database (ProQuest) Agricultural Engineering Abstracts (CABI) Animal Breeding Abstracts (CABI) AgBiotechNet (CABI) Biofuels Abstracts (CABI) Biological & Agricultural Index Plus (EBSCO Publishing) CAB Abstracts® (CABI) Current Contents: Agriculture, Biology & Environmental Sciences (Clarivate Analytics) Current Contents: Social & Behavioral Sciences (Clarivate Analytics) Dairy Science Abstracts (CABI) EconLit (AEA) Field Crop Abstracts (CABI) GeoRef (AGI) Global Health (CABI) Grasslands & Forage Abstracts (CABI) Horticultural Science Abstracts (CABI) Irrigation & Drainage Abstracts (CABI) Journal Citation Reports/Science Edition (Clarivate Analytics) Journal Citation Reports/Social Science Edition (Clarivate Analytics) Maize Abstracts (CABI) Natural Science Collection (ProQuest) Nutrition Abstracts & Reviews Series A: Human & Experimental (CABI) Nutrition Abstracts & Reviews Series B: Livestock Feeds & Feeding (CABI) Ornamental Horticulture (CABI) Periodical Index Online (ProQuest) Postharvest News & Information (CABI) Pig News & Information (CABI) Plant Breeding Abstracts (CABI) ProQuest Politics Collection (ProQuest) Plant Genetic Resources Abstracts (CABI) GEOBASE (Elsevier) Poultry Abstracts (CABI) Proquest Business Collection (ProQuest) ProQuest Sociology Collection (ProQuest) RePEc: Research Papers in Economics Review of Agricultural Entomology (CABI) Review of Medical & Veterinary Entomology (CABI) Rice Abstracts (CABI) Rural Development Abstracts (CABI) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Seed Abstracts (CABI) Tropical Diseases Bulletin (CABI) Social Science Premium Collection (ProQuest) Social Sciences Citation Index (Clarivate Analytics) Soils & Fertilizers Abstracts (CABI) SciTech Premium Collection (ProQuest) Soybean Abstracts Online (CABI) Sugar Industry Abstracts (CABI) Veterinary Bulletin (CABI) VINITI (All-Russian Institute of Science & Technological Information) Viticulture & Enology Abstracts (Vitis) Wheat, Barley & Triticale Abstracts (CABI) World Agricultural Economics & Rural Sociology Abstracts (CABI)

Computational and Structural Biotechnology Journal Impact Factor 2024-2025 - ResearchHelpDesk - Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology The journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence, and enables the rapid publication of papers under the following categories: Research articles Review articles Mini Reviews Highlights Communications Software/Web server articles Methods articles Database articles Book Reviews Meeting Reviews

Journal of machine learning research Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online. JMLR has a commitment to rigorous yet rapid reviewing. Final versions are published electronically (ISSN 1533-7928) immediately upon receipt. Until the end of 2004, paper volumes (ISSN 1532-4435) were published 8 times annually and sold to libraries and individuals by the MIT Press. Paper volumes (ISSN 1532-4435) are now published and sold by Microtome Publishing. JMLR seeks previously unpublished papers on machine learning that contain: new principled algorithms with sound empirical validation, and with justification of theoretical, psychological, or biological nature; experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems; accounts of applications of existing techniques that shed light on the strengths and weaknesses of the methods; formalization of new learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks; development of new analytical frameworks that advance theoretical studies of practical learning methods; computational models of data from natural learning systems at the behavioral or neural level; or extremely well-written surveys of existing work.

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.

International journal of nursing studies Impact Factor 2024-2025 - ResearchHelpDesk - The International Journal of Nursing Studies (IJNS) provides a forum for original research and scholarship about health care delivery, organization, management, workforce, policy, and research methods relevant to nursing, midwifery, and other health-related professions. The IJNS aims to support evidence-informed policy and practice by publishing research, systematic and other scholarly reviews, critical discussion, and commentary of the highest standard. The journal particularly welcomes studies that aim to evaluate and understand complex health care interventions and health policies and employ the most rigorous designs and methods appropriate for the research question of interest. The journal also seeks to advance the quality of research by publishing methodological papers introducing or elaborating on analytic techniques, measures, and research methods. The journal has been publishing original peer-reviewed articles of interest to the international health care community since 1963, making it one of the longest standing repositories of scholarship in this field. The IJNS offers authors the benefits of: A highly respected journal in its field with consistently high impact Indexed in major databases: PubMed, Medline, Thomson Reuters - Science Citation Index, Scopus, Thomson Reuters - Social Science Citation Index, CINAHL, and the BNI (British Nursing Index). A truly global readership Highly efficient editorial processes: average time from submission to first decision of 4 weeks Rapid initial screening for suitability and editorial interest Excellent peer reviewers drawn from a range of health service research disciplines Final online publication as soon as 2 weeks post-acceptance. The IJNS endorses the Equator Network an international initiative that seeks to improve the reliability and value of research literature in health care by promoting transparent and accurate reporting of studies. We ask our authors to make use of appropriate reporting guidelines to ensure excellence in scientific reporting. Authors are also welcome to submit to IJNS's open-access companion title, International Journal of Nursing Studies Advances, which welcomes excellent original research, reviews, and discussion relevant to nursing, midwifery, and other health-related professions around the globe. Abstracting and Indexing Social Sciences Citation Index Science Citation Index Expanded EMCARE Current Contents - Social & Behavioral Sciences Psychology Abstracts PubMed/Medline CINAHL ASSIA Scopus British Nursing Index CISTI CIRRIE

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.

Academy of Management Journal Impact Factor 2024-2025 - ResearchHelpDesk - Academy of Management Journal - The mission of AMJ is to publish empirical research that tests, extends, or builds management theory and contributes to management practice. All empirical methods including, but not limited to, qualitative, quantitative, field, laboratory, meta-analytic, and mixed methods are welcome. To be published in AMJ, the research must make strong empirical and theoretical contributions and the manuscript should highlight the relevance of those contributions to management practice. Authors should strive to produce original, insightful, interesting, important, and theoretically bold research that demonstrates a significant "value-added" contribution to the field's understanding of an issue or topic. AMJ is published six times a year in February, April, June, August, October, and December.