Call for content: Methods and Applications for Real World Data
Real-world data hold great potential for new scientific discoveries, problem-solving and decision-making. To unlock the full potential, new, effective, and practically feasible statistical and machine learning methods are needed.
Our new collection, guest edited by Prof. Panagiotakos and Prof. Liu, welcomes content highlighting opportunities and challenges around methods and applications for real-world data, as well as big data challenges in medical research.
Read MoreEditor's highlights
Articles
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Empirical assessment of alternative methods for identifying seasonality in observational healthcare data
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A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance
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A novel simulation-based approach to training for recruitment of older adults to clinical trials
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A progressive three-state model to estimate time to cancer: a likelihood-based approach
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The case study approach
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Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach
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Characterising and justifying sample size sufficiency in interview-based studies: systematic analysis of qualitative health research over a 15-year period
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Using the framework method for the analysis of qualitative data in multi-disciplinary health research
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How to do a grounded theory study: a worked example of a study of dental practices
Aims and scope
BMC Medical Research Methodology is an open access journal publishing original peer-reviewed research articles in methodological approaches to healthcare research. Articles on the methodology of epidemiological research, clinical trials and meta-analysis/systematic review are particularly encouraged, as are empirical studies of the associations between choice of methodology and study outcomes. BMC Medical Research Methodology does not aim to publish articles describing scientific methods or techniques: these should be directed to the BMC journal covering the relevant biomedical subject area.
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Methodologies for COVID-19 research and data analysis
Our collection on methodological approaches to medical research and data analysis related to COVID-19 is no longer accepting new submissions. You can continue to browse our published content, and remember all of our articles are open access and free to read!
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Annual Journal Metrics
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Speed
48 days to first decision for all manuscripts
79 days to first decision for reviewed manuscripts only
196 days from submission to acceptance
19 days from acceptance to publicationCitation Impact
4.615 - 2-year Impact Factor
5.260 - 5-year Impact Factor
2.262 - Source Normalized Impact per Paper (SNIP)
1.820 - SCImago Journal Rank (SJR)Usage
4,455,062 Downloads (2021)
3,897 Altmetric mentions
Peer-review Terminology
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The following summary describes the peer review process for this journal:
Identity transparency: Single anonymized
Reviewer interacts with: Editor
Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication