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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.

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Articles

  1. Authors: Sarah Crowe, Kathrin Cresswell, Ann Robertson, Guro Huby, Anthony Avery and Aziz Sheikh

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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Annual Journal Metrics

  • Citation Impact
    4.622 - 2-year Impact Factor (2021)
    6.727 - 5-year Impact Factor (2021)
    2.742 - SNIP (Source Normalized Impact per Paper)
    1.933 - SJR (SCImago Journal Rank)

    Speed
    48 days to first decision for all manuscripts (Median)
    58 days to first decision for reviewed manuscripts only (Median)

    Usage 
    4,455,062 Downloads (2021)
    2,060 Altmetric mentions (2021)

Peer-review Terminology

  • 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

    More information is available here

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