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BMC Medical Research Methodology
H-index 44

BMC Medical Research Methodology

1471-2288

Published by: Springer

https://bmcmedresmethodol.biomedcentral.com/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 335 452 413 41

Additional Metrics

Number of Best Scientists*: 756
Documents by Best Scientists*: 612
Top 100 Ranked Scientists*: 29
SCIMAGO H-index: 176
SCIMAGO SJR: 1.669
Impact Factor: 3.4

Overview

Top Research Topics at BMC Medical Research Methodology?

The main research concerns discussed in the journal are Statistics, MEDLINE, Randomized controlled trial, Econometrics and Sample size determination. Confidence interval, Covariate, Logistic regression, Missing data and Regression analysis are all topics related to Statistics research discussed. Imputation (statistics) is the primary subject of Missing data works presented in BMC Medical Research Methodology.

While work presented in it provided substantial information on MEDLINE, it also covered topics in Research design, Health care and Family medicine. The Family medicine study featured in the journal draws connections with the study of Alternative medicine. Some problems in Randomized controlled trial that were presented in the journal overlapped with concepts under Psychological intervention, Physical therapy and Clinical trial.

Meta-Analysis as Topic is part of Systematic review studies tackled in it.

  • Statistics (29.09%)
  • MEDLINE (12.92%)
  • Randomized controlled trial (12.69%)

What are the most cited papers published in the journal?

  • Estimating the mean and variance from the median, range, and the size of a sample. (4523 citations)
  • Using the framework method for the analysis of qualitative data in multi-disciplinary health research (3291 citations)
  • The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews (2970 citations)

Research areas of the most cited articles at BMC Medical Research Methodology:

The published papers tackle a plethora of topics, such as Statistics, MEDLINE, Econometrics, Research design and Sample size determination. While the journal publications focused on Statistics, they were also able to explore topics like Meta-analysis and Random effects model. The journal articles explore research in Randomized controlled trial and overlapping concepts in Physical therapy to expand the discourse in Research design.

What topics the last edition of the journal is best known for?

  • Statistics
  • Internal medicine
  • Disease

The previous edition focused in particular on these issues:

BMC Medical Research Methodology mostly deals with topics like Statistics, Randomized controlled trial, Sample size determination, Covariate and Clinical trial. Statistics studies presented in the journal focus on topics such as Regression, Regression analysis, Proportional hazards model, Sample (statistics) and Logistic regression. It investigates Proportional hazards model research which frequently intersects with Hazard ratio.

Randomized controlled trial research presented in it encompasses a variety of subjects, including Observational study, Systematic review, Clinical study design, Meta-analysis and Physical therapy. It focuses on Sample size determination research which is adjacent to topics in Outcome (probability). The journal links adjacent topics like Covariate with Event (probability theory).

The most cited articles from the last journal are:

  • COVID-19-related medical research: a meta-research and critical appraisal. (24 citations)
  • Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions (8 citations)
  • Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models (6 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in BMC Medical Research Methodology (based on the number of publications) are:

  • Lehana Thabane (19 papers) absent at the last edition,
  • Livia Puljak (16 papers) published 1 paper at the last edition, 7 less than at the previous edition,
  • Dawid Pieper (15 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Karel G.M. Moons (15 papers) absent at the last edition,
  • Martin Schumacher (15 papers) published 2 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in BMC Medical Research Methodology (based on the number of publications) are:

  • University of Toronto (77 papers) published 9 papers at the last edition, 1 more than at the previous edition,
  • McMaster University (74 papers) published 6 papers at the last edition, 3 less than at the previous edition,
  • University of London (74 papers) published 6 papers at the last edition, 4 less than at the previous edition,
  • University of Oxford (70 papers) published 8 papers at the last edition, 1 less than at the previous edition,
  • University College London (62 papers) published 6 papers at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 3.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.14% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.10% of all publications and 44.76% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Exploring methodological interests of BMC Medical Research Methodology contributors

An understanding of the contributors to BMC Medical Research Methodology in terms of their research career status and geographical location would provide a more comprehensive picture of the publication and its international reach. In previous editions of the journal, numerous authors from varying academic backgrounds and geographical areas have made significant contributions. The geographical spread of these contributions is substantial, with a particular interest in methodological advancements from authors working in healthcare and medical research institutions.

Furthermore, many of the published works showcased demonstrate the contributors' specific interests within research methodology. For instance, topics such as "Statistics", "MEDLINE" and "Randomized controlled trial" have seen significant investigation in the scope of the research studies published to date. Moreover, research works related to healthcare careers like Nursing and Midwifery were also found to be of substantial interest to our contributors.

Particularly, in the context of healthcare careers such as nursing and midwifery, there are distinctive state-based licensure requirements for practicing professionals. For those interested in understanding these requirements, a comprehensive insight into texas nursing license requirements could be beneficial. Knowledge about these requirements would aid our contributors in generating more accurate and relevant research works in the field.

In summary, understanding the unique methodological interests and geographical confines of the BMC Medical Research Methodology contributors would allow for more strategic identification of relevant research topics, thereby enhancing the quality and applicability of its published works.

Top Publications

  • IPDfromKM: reconstruct individual patient data from published Kaplan-Meier survival curves

    Na Liu;Yanhong Zhou;J. Jack Lee

    (2021)
    341 Citations
  • COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study.

    L B Mokkink;M Boers;M Boers;C P M van der Vleuten;L M Bouter;L M Bouter

    (2020)
    307 Citations
  • Software tools to support title and abstract screening for systematic reviews in healthcare: an evaluation

    Hannah Harrison;Simon J. Griffin;Isla Kuhn;Juliet A. Usher-Smith

    (2020)
    256 Citations
  • Real-world data: a brief review of the methods, applications, challenges and opportunities

    (2022)
    208 Citations
  • Mediation analysis methods used in observational research: a scoping review and recommendations

    Judith J. M. Rijnhart;Sophia J. Lamp;Matthew J. Valente;David P. MacKinnon

    (2021)
    172 Citations
  • Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review

    (2022)
    108 Citations
  • A conceptual framework for prognostic research

    Peter Kent;Peter Kent;Carol Cancelliere;Carol Cancelliere;Eleanor Boyle;J. David Cassidy

    (2020)
    108 Citations
  • Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study.

    Michael Geissbühler;Cesar A. Hincapié;Cesar A. Hincapié;Soheila Aghlmandi;Soheila Aghlmandi;Marcel Zwahlen

    (2021)
    97 Citations
  • Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review

    (2022)
    96 Citations
  • A scoping review of Q-methodology in healthcare research

    Kate Churruca;Kristiana Ludlow;Kristiana Ludlow;Wendy Wu;Kate Gibbons

    (2021)
    94 Citations

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