1609 36 19617 3 79779 document 19617 Acknowledgements_dataset_October_25.dta application/octet-stream cb3aacc46114834d8fe75f02e380545f MD5 1371817 2025-10-22 12:59:29 https://researchdata.bath.ac.uk/1609/1/Acknowledgements_dataset_October_25.dta 1609 1 1 application/octet-stream other STATA .dta file including n=7,752 observations. Included are all the data needed to create "Table 3. Correlates of omission from the acknowledgements". Last Updated: October 2025. en public cc_by
Acknowledgements_dataset_October_25.dta
data 19618 3 79783 document 19618 Acknowledgements_dataset_October_25.csv text/csv a57597b0043f0a7370b52d0274278fa4 MD5 1807384 2025-10-22 13:01:02 https://researchdata.bath.ac.uk/1609/2/Acknowledgements_dataset_October_25.csv 1609 2 2 text/csv other A .csv version of the above STATA .dta file. en public cc_by
Acknowledgements_dataset_October_25.csv
data archive 9849 disk0/00/00/16/09 2025-12-10 11:26:16 2026-01-12 14:36:58 2025-12-10 11:26:16 data_collection show Salandra Rossella R.Salandra@bath.ac.uk 0000-0002-9747-7424 University of Bath TRUE Dataset for "Attribution of credit in acknowledgements: The case of systematic reviews in medicine" FS0040 dept_strat_org acknowledgements This anonymised database reports information on whether an author was 1) included in the author byline of the updated review and 2) omitted in the acknowledgements of the updated review. It contains information for all the reviews published in the Cochrane Database of Systematic Reviews and that had been subject to an update as of June 2019, corresponding to 2,127 unique review-review pairs. We removed from the sample 36 reviews in which the acknowledgements section was missing. This left us with 2,091 review pairs corresponding to 8,267 non-unique authors. The final database report information for 7,752 authors for whom race, gender and publication information were available. 2025-12-10 University of Bath public RightsHolder University of Bath University of Bath https://doi.org/10.13039/501100000835 cent_reib Data collection methods are detailed in the "Attribution of credit in acknowledgements: The case of systematic reviews in medicine" paper. STATA was used to create the data, and is required to view the .dta file. en 1 10.15125/BATH-01609 https://doi.org/10.1371/journal.pone.0338714 pub open