81 datasets found
  1. e

    Statistics in Medicine - impact-factor

    • exaly.com
    csv, json
    Updated Oct 8, 2025
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    (2025). Statistics in Medicine - impact-factor [Dataset]. https://exaly.com/journal/13423/statistics-in-medicine
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    json, csvAvailable download formats
    Dataset updated
    Oct 8, 2025
    License

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

    Description

    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.

  2. e

    Statistics in Medicine - if-computation

    • exaly.com
    csv, json
    Updated Oct 6, 2025
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    (2025). Statistics in Medicine - if-computation [Dataset]. https://exaly.com/journal/13423/statistics-in-medicine/impact-factor
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 6, 2025
    License

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

    Description

    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.

  3. Data (i.e., evidence) about evidence based medicine

    • figshare.com
    • search.datacite.org
    png
    Updated May 30, 2023
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    Jorge H Ramirez (2023). Data (i.e., evidence) about evidence based medicine [Dataset]. http://doi.org/10.6084/m9.figshare.1093997.v24
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    pngAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Jorge H Ramirez
    License

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

    Description

    Update — December 7, 2014. – Evidence-based medicine (EBM) is not working for many reasons, for example: 1. Incorrect in their foundations (paradox): hierarchical levels of evidence are supported by opinions (i.e., lowest strength of evidence according to EBM) instead of real data collected from different types of study designs (i.e., evidence). http://dx.doi.org/10.6084/m9.figshare.1122534 2. The effect of criminal practices by pharmaceutical companies is only possible because of the complicity of others: healthcare systems, professional associations, governmental and academic institutions. Pharmaceutical companies also corrupt at the personal level, politicians and political parties are on their payroll, medical professionals seduced by different types of gifts in exchange of prescriptions (i.e., bribery) which very likely results in patients not receiving the proper treatment for their disease, many times there is no such thing: healthy persons not needing pharmacological treatments of any kind are constantly misdiagnosed and treated with unnecessary drugs. Some medical professionals are converted in K.O.L. which is only a puppet appearing on stage to spread lies to their peers, a person supposedly trained to improve the well-being of others, now deceits on behalf of pharmaceutical companies. Probably the saddest thing is that many honest doctors are being misled by these lies created by the rules of pharmaceutical marketing instead of scientific, medical, and ethical principles. Interpretation of EBM in this context was not anticipated by their creators. “The main reason we take so many drugs is that drug companies don’t sell drugs, they sell lies about drugs.” ―Peter C. Gøtzsche “doctors and their organisations should recognise that it is unethical to receive money that has been earned in part through crimes that have harmed those people whose interests doctors are expected to take care of. Many crimes would be impossible to carry out if doctors weren’t willing to participate in them.” —Peter C Gøtzsche, The BMJ, 2012, Big pharma often commits corporate crime, and this must be stopped. Pending (Colombia): Health Promoter Entities (In Spanish: EPS ―Empresas Promotoras de Salud).

    1. Misinterpretations New technologies or concepts are difficult to understand in the beginning, it doesn’t matter their simplicity, we need to get used to new tools aimed to improve our professional practice. Probably the best explanation is here in these videos (credits to Antonio Villafaina for sharing these videos with me). English https://www.youtube.com/watch?v=pQHX-SjgQvQ&w=420&h=315 Spanish https://www.youtube.com/watch?v=DApozQBrlhU&w=420&h=315 ----------------------- Hypothesis: hierarchical levels of evidence based medicine are wrong Dear Editor, I have data to support the hypothesis described in the title of this letter. Before rejecting the null hypothesis I would like to ask the following open question:Could you support with data that hierarchical levels of evidence based medicine are correct? (1,2) Additional explanation to this question: – Only respond to this question attaching publicly available raw data.– Be aware that more than a question this is a challenge: I have data (i.e., evidence) which is contrary to classic (i.e., McMaster) or current (i.e., Oxford) hierarchical levels of evidence based medicine. An important part of this data (but not all) is publicly available. References
    2. Ramirez, Jorge H (2014): The EBM challenge. figshare. http://dx.doi.org/10.6084/m9.figshare.1135873
    3. The EBM Challenge Day 1: No Answers. Competing interests: I endorse the principles of open data in human biomedical research Read this letter on The BMJ – August 13, 2014.http://www.bmj.com/content/348/bmj.g3725/rr/762595Re: Greenhalgh T, et al. Evidence based medicine: a movement in crisis? BMJ 2014; 348: g3725. _ Fileset contents Raw data: Excel archive: Raw data, interactive figures, and PubMed search terms. Google Spreadsheet is also available (URL below the article description). Figure 1. Unadjusted (Fig 1A) and adjusted (Fig 1B) PubMed publication trends (01/01/1992 to 30/06/2014). Figure 2. Adjusted PubMed publication trends (07/01/2008 to 29/06/2014) Figure 3. Google search trends: Jan 2004 to Jun 2014 / 1-week periods. Figure 4. PubMed publication trends (1962-2013) systematic reviews and meta-analysis, clinical trials, and observational studies.
      Figure 5. Ramirez, Jorge H (2014): Infographics: Unpublished US phase 3 clinical trials (2002-2014) completed before Jan 2011 = 50.8%. figshare.http://dx.doi.org/10.6084/m9.figshare.1121675 Raw data: "13377 studies found for: Completed | Interventional Studies | Phase 3 | received from 01/01/2002 to 01/01/2014 | Worldwide". This database complies with the terms and conditions of ClinicalTrials.gov: http://clinicaltrials.gov/ct2/about-site/terms-conditions Supplementary Figures (S1-S6). PubMed publication delay in the indexation processes does not explain the descending trends in the scientific output of evidence-based medicine. Acknowledgments I would like to acknowledge the following persons for providing valuable concepts in data visualization and infographics:
    4. Maria Fernanda Ramírez. Professor of graphic design. Universidad del Valle. Cali, Colombia.
    5. Lorena Franco. Graphic design student. Universidad del Valle. Cali, Colombia. Related articles by this author (Jorge H. Ramírez)
    6. Ramirez JH. Lack of transparency in clinical trials: a call for action. Colomb Med (Cali) 2013;44(4):243-6. URL: http://www.ncbi.nlm.nih.gov/pubmed/24892242
    7. Ramirez JH. Re: Evidence based medicine is broken (17 June 2014). http://www.bmj.com/node/759181
    8. Ramirez JH. Re: Global rules for global health: why we need an independent, impartial WHO (19 June 2014). http://www.bmj.com/node/759151
    9. Ramirez JH. PubMed publication trends (1992 to 2014): evidence based medicine and clinical practice guidelines (04 July 2014). http://www.bmj.com/content/348/bmj.g3725/rr/759895 Recommended articles
    10. Greenhalgh Trisha, Howick Jeremy,Maskrey Neal. Evidence based medicine: a movement in crisis? BMJ 2014;348:g3725
    11. Spence Des. Evidence based medicine is broken BMJ 2014; 348:g22
    12. Schünemann Holger J, Oxman Andrew D,Brozek Jan, Glasziou Paul, JaeschkeRoman, Vist Gunn E et al. Grading quality of evidence and strength of recommendations for diagnostic tests and strategies BMJ 2008; 336:1106
    13. Lau Joseph, Ioannidis John P A, TerrinNorma, Schmid Christopher H, OlkinIngram. The case of the misleading funnel plot BMJ 2006; 333:597
    14. Moynihan R, Henry D, Moons KGM (2014) Using Evidence to Combat Overdiagnosis and Overtreatment: Evaluating Treatments, Tests, and Disease Definitions in the Time of Too Much. PLoS Med 11(7): e1001655. doi:10.1371/journal.pmed.1001655
    15. Katz D. A-holistic view of evidence based medicinehttp://thehealthcareblog.com/blog/2014/05/02/a-holistic-view-of-evidence-based-medicine/ ---
  4. An instrument to assess the statistical intensity of medical research papers...

    • plos.figshare.com
    pdf
    Updated Jun 1, 2023
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    Pentti Nieminen; Jorma I. Virtanen; Hannu Vähänikkilä (2023). An instrument to assess the statistical intensity of medical research papers [Dataset]. http://doi.org/10.1371/journal.pone.0186882
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Pentti Nieminen; Jorma I. Virtanen; Hannu Vähänikkilä
    License

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

    Description

    BackgroundThere is widespread evidence that statistical methods play an important role in original research articles, especially in medical research. The evaluation of statistical methods and reporting in journals suffers from a lack of standardized methods for assessing the use of statistics. The objective of this study was to develop and evaluate an instrument to assess the statistical intensity in research articles in a standardized way.MethodsA checklist-type measure scale was developed by selecting and refining items from previous reports about the statistical contents of medical journal articles and from published guidelines for statistical reporting. A total of 840 original medical research articles that were published between 2007–2015 in 16 journals were evaluated to test the scoring instrument. The total sum of all items was used to assess the intensity between sub-fields and journals. Inter-rater agreement was examined using a random sample of 40 articles. Four raters read and evaluated the selected articles using the developed instrument.ResultsThe scale consisted of 66 items. The total summary score adequately discriminated between research articles according to their study design characteristics. The new instrument could also discriminate between journals according to their statistical intensity. The inter-observer agreement measured by the ICC was 0.88 between all four raters. Individual item analysis showed very high agreement between the rater pairs, the percentage agreement ranged from 91.7% to 95.2%.ConclusionsA reliable and applicable instrument for evaluating the statistical intensity in research papers was developed. It is a helpful tool for comparing the statistical intensity between sub-fields and journals. The novel instrument may be applied in manuscript peer review to identify papers in need of additional statistical review.

  5. e

    Statistical Methods in Medical Research - impact-factor

    • exaly.com
    csv, json
    Updated Oct 8, 2025
    + more versions
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    (2025). Statistical Methods in Medical Research - impact-factor [Dataset]. https://exaly.com/journal/17678/statistical-methods-in-medical-research
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 8, 2025
    License

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

    Description

    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.

  6. e

    Statistical Methods in Medical Research - if-computation

    • exaly.com
    csv, json
    Updated Oct 2, 2025
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    (2025). Statistical Methods in Medical Research - if-computation [Dataset]. https://exaly.com/journal/17678/statistical-methods-in-medical-research/impact-factor
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 2, 2025
    License

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

    Description

    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.

  7. r

    The Journal of Community Health Management Impact Factor 2024-2025 -...

    • researchhelpdesk.org
    Updated Feb 19, 2022
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    Research Help Desk (2022). The Journal of Community Health Management Impact Factor 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/impact-factor-if/523/the-journal-of-community-health-management
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    Dataset updated
    Feb 19, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    The Journal of Community Health Management Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Community Health Management (JCHM) is open access, double-blind peer-review journal publishing quarterly since 2014. JCHM is proclaimed by Innovative Education and Scientific Research Foundation, print and published by Innovative Publication. It has an International Standard Serial Number (ISSN 2394-272X, e ISSN 2394-2738). JCHM permits authors to self-archive final approval of the articles on any OAI-compliant institutional/subject-based repository. Aim and Scope JCHM is focusing on Community Health which is the branch of the Public Health, it's making people aware and describing their role as determinants of their own and other people’s health in contrast to environmental health which focal point on the physical environment and its impact on people health. It concentrates on the maintenance, protection, and improvement of the health status of population groups and communities. The scope is, therefore, huge covering almost all streams of Community Health Management starting from original research articles, review articles, short communications, and clinical cases as well as studies covering clinical, experimental and applied topics on Community health Management on above subjective areas. The scope of the journal isn't restricted to those subjects however it's the broader coverage of all the newest updates and specialties. Indexing The Journal is an index with Index Copernicus (Poland), Google Scholar, J-gate, EBSCO (USA) database, Academia.edu, CrossRef, ROAD, InfoBase Index, GENAMIC, etc. Keywords Acute Care, Bio-statics, Community Health, Epidemiology and Health Services Research, Health Management, Medicine and Allied branches of Medical Sciences including Health Statistics, Nutrition, Preventive Medicine, Primary Prevention, Primary Health Care, Secondary Prevention, Secondary Healthcare, Tertiary Healthcare.

  8. d

    Replication Data for: Reporting of academic degrees in high-impact medical...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Stankovic, Nikola (2023). Replication Data for: Reporting of academic degrees in high-impact medical journals [Dataset]. http://doi.org/10.7910/DVN/KTWS6C
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Stankovic, Nikola
    Description

    We identified the hundred highest impact medical journals based on impact factor reported in the Journal Citation Reports published in 2018. Characteristics of each journal in regard to specialty, impact factor, primary journal focus, continent, and open access policy were obtained. Data were collected on the presence of academic degrees following author names in the title page by assessment of multiple original research articles from each journal. Approximately ten articles published in July 2018 and August 2019 were assessed for each journal. If there was any discrepancy between the print and the online version, the print version was use. There were no discrepancies within journals for the two time periods.

  9. d

    Data from: Introducing evidence based medicine to the journal club, using a...

    • catalog.data.gov
    • odgavaprod.ogopendata.com
    Updated Sep 6, 2025
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    National Institutes of Health (2025). Introducing evidence based medicine to the journal club, using a structured pre and post test: a cohort study [Dataset]. https://catalog.data.gov/dataset/introducing-evidence-based-medicine-to-the-journal-club-using-a-structured-pre-and-post-te
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    Dataset updated
    Sep 6, 2025
    Dataset provided by
    National Institutes of Health
    Description

    Background Journal Club at a University-based residency program was restructured to introduce, reinforce and evaluate residents understanding of the concepts of Evidence Based Medicine. Methods Over the course of a year structured pre and post-tests were developed for use during each Journal Club. Questions were derived from the articles being reviewed. Performance with the key concepts of Evidence Based Medicine was assessed. Study subjects were 35 PGY2 and PGY3 residents in a University based Family Practice Program. Results Performance on the pre-test demonstrated a significant improvement from a median of 54.5 % to 78.9 % over the course of the year (F 89.17, p < .001). The post-test results also exhibited a significant increase from 63.6 % to 81.6% (F 85.84, p < .001). Conclusions Following organizational revision, the introduction of a pre-test/post-test instrument supported achievement of the learning objectives with a better understanding and utilization of the concepts of Evidence Based Medicine.

  10. r

    The Journal of Community Health Management FAQ - ResearchHelpDesk

    • researchhelpdesk.org
    Updated May 29, 2022
    + more versions
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    Research Help Desk (2022). The Journal of Community Health Management FAQ - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/faq/523/the-journal-of-community-health-management
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    Dataset updated
    May 29, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    The Journal of Community Health Management FAQ - ResearchHelpDesk - The Journal of Community Health Management (JCHM) is open access, double-blind peer-review journal publishing quarterly since 2014. JCHM is proclaimed by Innovative Education and Scientific Research Foundation, print and published by Innovative Publication. It has an International Standard Serial Number (ISSN 2394-272X, e ISSN 2394-2738). JCHM permits authors to self-archive final approval of the articles on any OAI-compliant institutional/subject-based repository. Aim and Scope JCHM is focusing on Community Health which is the branch of the Public Health, it's making people aware and describing their role as determinants of their own and other people’s health in contrast to environmental health which focal point on the physical environment and its impact on people health. It concentrates on the maintenance, protection, and improvement of the health status of population groups and communities. The scope is, therefore, huge covering almost all streams of Community Health Management starting from original research articles, review articles, short communications, and clinical cases as well as studies covering clinical, experimental and applied topics on Community health Management on above subjective areas. The scope of the journal isn't restricted to those subjects however it's the broader coverage of all the newest updates and specialties. Indexing The Journal is an index with Index Copernicus (Poland), Google Scholar, J-gate, EBSCO (USA) database, Academia.edu, CrossRef, ROAD, InfoBase Index, GENAMIC, etc. Keywords Acute Care, Bio-statics, Community Health, Epidemiology and Health Services Research, Health Management, Medicine and Allied branches of Medical Sciences including Health Statistics, Nutrition, Preventive Medicine, Primary Prevention, Primary Health Care, Secondary Prevention, Secondary Healthcare, Tertiary Healthcare.

  11. Z

    Data from: Datasets for publication: 'Measuring the excellence contribution...

    • data.niaid.nih.gov
    • produccioncientifica.ugr.es
    Updated Nov 12, 2021
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    Gorraiz, Juan (2021). Datasets for publication: 'Measuring the excellence contribution at the journal level: An alternative to Garfield's Impact Factor' [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_5676183
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    Dataset updated
    Nov 12, 2021
    Dataset provided by
    Arroyo-Machado, Wenceslao
    Torres-Salinas, Daniel
    Gorraiz, Juan
    Glänzel, Wolfgang
    Ulrych, Ursula
    License

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

    Description

    Datasets for publication: 'Measuring the excellence contribution at the journal level: An alternative to Garfield's Impact Factor'.

    Overview. Overview of the number of journals, publications, excellent publications and multidisciplinarity for each category considered.

    ALL. Journal indicators for all the document types by JCR category.

    ALL_JCR. Journal indicators for all the document types by JCR category (only journals indexed in the JCR category are taken into account).

    AR. Journal indicators for only articles and reviews by JCR category.

    AR_JCR. Journal indicators for only articles and reviews by JCR category (only journals indexed in the JCR category are taken into account).

  12. H

    Data from: Interesting statistics regarding the papers published in Journal...

    • dataverse.harvard.edu
    Updated Jan 11, 2018
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    Yera Hur (2018). Interesting statistics regarding the papers published in Journal of Educational Evaluation for Health Professions in 2017 [Dataset]. http://doi.org/10.7910/DVN/S9FG5U
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 11, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Yera Hur
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This year, from January 1 to December 28, a total of 111 papers were submitted to Journal of Educational Evaluation for Health Professions (JEEHP). Of these 111 papers, 88 were regarded as unsuitable because they did not follow the instructions for manuscript preparation for JEEHP, and some of the papers were eventually rejected or were resubmitted after revision. So far, 34 papers have been published this year, and 21 are in the processing stage. The acceptance rate is currently 27.4%, which is lower than the acceptance rate for 2016.

  13. e

    List of Top Institutions of International Journal of Statistics in Medical...

    • exaly.com
    csv, json
    Updated Oct 8, 2025
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    (2025). List of Top Institutions of International Journal of Statistics in Medical Research sorted by citations [Dataset]. https://exaly.com/journal/47743/international-journal-of-statistics-in-medical-r/top-institutions
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    json, csvAvailable download formats
    Dataset updated
    Oct 8, 2025
    License

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

    Description

    List of Top Institutions of International Journal of Statistics in Medical Research sorted by citations.

  14. f

    Statistical measures and methods in JAMA articles published in 1990, 2000,...

    • figshare.com
    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Lauren D. Arnold; Melissa Braganza; Rondek Salih; Graham A. Colditz (2023). Statistical measures and methods in JAMA articles published in 1990, 2000, and 2010*. [Dataset]. http://doi.org/10.1371/journal.pone.0077301.t003
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lauren D. Arnold; Melissa Braganza; Rondek Salih; Graham A. Colditz
    License

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

    Description

    Statistical measures and methods in JAMA articles published in 1990, 2000, and 2010*.

  15. r

    The Journal of Community Health Management CiteScore 2024-2025 -...

    • researchhelpdesk.org
    Updated Aug 3, 2022
    + more versions
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    Research Help Desk (2022). The Journal of Community Health Management CiteScore 2024-2025 - ResearchHelpDesk [Dataset]. https://www.researchhelpdesk.org/journal/sjr/592/the-journal-of-community-health-management
    Explore at:
    Dataset updated
    Aug 3, 2022
    Dataset authored and provided by
    Research Help Desk
    Description

    The Journal of Community Health Management CiteScore 2024-2025 - ResearchHelpDesk - The Journal of Community Health Management (JCHM) open access, peer-reviewed quarterly journal publishing since 2014 and is published under the auspices of the Innovative Education and Scientific Research Foundation (IESRF), aim to uplift researchers, scholars, academicians, and professionals in all academic and scientific disciplines. IESRF is dedicated to the transfer of technology and research by publishing scientific journals, research content, providing professional’s membership, and conducting conferences, seminars, and award programs. With the aim of faster and better dissemination of knowledge, we will be publishing the article ‘Ahead of Print’ immediately on acceptance. In addition, the journal would allow free access (Open Access) to its contents, which is likely to attract more readers and citations to articles published in JCHM. Manuscripts must be prepared in accordance with “Uniform requirements for Manuscripts submitted to Biomedical Journals” as per guidelines by the International Committee of Medical Journals Editors (Updated December 2019). The uniform requirements and specific requirements of JCHM are mentioned below. Before sending a manuscript contributors are requested to check for the author guidelines are available from the website of the journal (www.jchm.in/info/author) or directly from (Innovative Pre-Publication Portal) manuscript submission website https://innovpub.org/journal/JCHM Aims and Scope The aim and commitment of the journal are to publish a research-oriented manuscript address significant issues in all the subjects and areas of Community Health Management. Journal is committed itself to improve Education and Research on Acute Care, Bio-statics, Community Health, Epidemiology and Health Services Research, Health Management, Medicine, and Allied branches of Medical Sciences including Health Statistics, Nutrition, Preventive Medicine, Primary Prevention, Primary Health Care, Secondary Prevention, Secondary Healthcare, Tertiary Healthcare, etc. Indexing and Abstracting Information Index Copernicus, Google Scholar, Indian Science Abstracts, National Science Library, J- gate, ROAD, CrossRef, Microsoft Academic, Indian Citation Index (ICI). Journal Ethics Journal is committed to upholding the highest standards of ethical behavior at all stages of publication. We strictly adhere to the industry associations such as the Committee on Publication Ethics (COPE), International Committee of Medical Journal Editors (ICMJE), and World Association of Medical Editors (WAME), that set standards and provide guidelines for best practices in order to meet these requirements. Our specific policies regarding duplicate publication, conflict of interest, patient consent, etc., Please visit the editor guidelines

  16. d

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

    • search.dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated Jul 25, 2025
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    Tanya Singh; Jagadish Rao Padubidri; Pavanchand Shetty H; Matthew Antony Manoj; Therese Mary; Bhanu Thejaswi Pallempati (2025). 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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    Dataset updated
    Jul 25, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Tanya Singh; Jagadish Rao Padubidri; Pavanchand Shetty H; Matthew Antony Manoj; Therese Mary; Bhanu Thejaswi Pallempati
    Time period covered
    Jan 1, 2023
    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 fa..., 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..., , # Data of top 50 most cited articles about COVID-19 and the complications of COVID-19

    This dataset contains information about the top 50 most cited articles about COVID-19 and the complications of COVID-19. We have looked into a variety of research and clinical factors for the analysis.

    Description of the data and file structure

    The data sheet offers a comprehensive analysis of the selected articles. It delves into specifics such as the publication year of the top 50 articles, the journals responsible for publishing them, and the geographical region with the highest number of citations in this elite list. Moreover, the sheet sheds light on the key players involved, including authors and their affiliated departments, in crafting the top 50 most cited articles.

    Beyond these fundamental aspects, the data sheet goes on to provide intricate details related to the study types and topics prevalent in the top 50 articles. To enrich the analysis, it incorporates clinical data, capturing...

  17. i

    Grant Giving Statistics for The Medical Journal Club

    • instrumentl.com
    Updated Aug 8, 2022
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    (2022). Grant Giving Statistics for The Medical Journal Club [Dataset]. https://www.instrumentl.com/990-report/the-medical-journal-club
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    Dataset updated
    Aug 8, 2022
    Description

    Financial overview and grant giving statistics of The Medical Journal Club

  18. d

    Data from: Medical immunology: a new journal for a new subspecialty

    • catalog.data.gov
    • odgavaprod.ogopendata.com
    Updated Sep 6, 2025
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    National Institutes of Health (2025). Medical immunology: a new journal for a new subspecialty [Dataset]. https://catalog.data.gov/dataset/medical-immunology-a-new-journal-for-a-new-subspecialty
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    Dataset updated
    Sep 6, 2025
    Dataset provided by
    National Institutes of Health
    Description

    Medical immunology: a new journal for a new subspecialty

  19. f

    Sharing Detailed Research Data Is Associated with Increased Citation Rate

    • plos.figshare.com
    doc
    Updated Jun 1, 2023
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    Heather A. Piwowar; Roger S. Day; Douglas B. Fridsma (2023). Sharing Detailed Research Data Is Associated with Increased Citation Rate [Dataset]. http://doi.org/10.1371/journal.pone.0000308
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    docAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Heather A. Piwowar; Roger S. Day; Douglas B. Fridsma
    License

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

    Description

    BackgroundSharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available.Principal FindingsWe examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression.SignificanceThis correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.

  20. b

    Data from: National Library of Medicine Catalog

    • bioregistry.io
    Updated Feb 28, 2022
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    (2022). National Library of Medicine Catalog [Dataset]. http://identifiers.org/biolink:NLMID
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    Dataset updated
    Feb 28, 2022
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The NLM Catalog provides access to NLM bibliographic data for journals, books, audiovisuals, computer software, electronic resources and other materials. Links to the library's holdings in LocatorPlus, NLM's online public access catalog, are also provided. [from homepage]

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(2025). Statistics in Medicine - impact-factor [Dataset]. https://exaly.com/journal/13423/statistics-in-medicine

Statistics in Medicine - impact-factor

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2 scholarly articles cite this dataset (View in Google Scholar)
json, csvAvailable download formats
Dataset updated
Oct 8, 2025
License

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

Description

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.

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