Evidence map›Paper›PMID 38881963›Full record

ArticlePlastic and reconstructive surgery. Global open2024

Diversity Drives Representation: An Internal Audit of Gender Representation in Citation Practices of a Single Surgical Laboratory.

Gabriela A Fioranelli, Yunee Lo, Anna K Jesch, Matthew J Laluzerne, D'Andrea Donnelly, Sarah M Lyon, Aaron M Dingle

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gabriela A FioranelliFrom the Division of Plastic Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisc.
Yunee LoFrom the Division of Plastic Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisc.
Anna K JeschFrom the Division of Plastic Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisc.
Matthew J LaluzerneDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisc.
D'Andrea DonnellyFrom the Division of Plastic Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisc.
Sarah M LyonFrom the Division of Plastic Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisc.
Aaron M DingleFrom the Division of Plastic Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisc.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Large-scale retrospective studies have identified implicit gender bias in citation behaviors across multiple medical fields. There are minimal resources to directly assess one's own citation behavior before publication at a laboratory level. In this study, we performed an internal audit of our own citation practices and behavior, looking at the representation of authors by gender in our own bibliographies. Methods: Bibliographies were collated from our laboratory's publications between 2015 and 2022 with a single senior author, who was excluded from participating in this study. Bibliographies were run through a simulation originally constructed and used by authors from the University of Pennsylvania that categorized authors of each article by gender: man or woman, according to external database records. Results: Of the 1697 citations, the first and last authorship sequences displayed to be 60.8% male/male, 10.1% male/female, 16.3% female/male and 12.8% female/female. Men-led articles within our laboratory cited 67.4% male/male articles in their bibliographies compared with women-led articles citing 53.9%. All laboratory bibliographies consisted of 77.1% male senior authors compared with 22.9% female senior authors. Conclusions: Our data confirm that a gender bias in citation practices exists at the laboratory level. Promisingly, these data also indicate that diversity within an individual laboratory group leads to diversity in representation; therefore, diversifying a team of researchers is prone to improve the overall work and success of the laboratory. We encourage laboratory groups to challenge their own biases by replicating their own results and discovering how these biases might be impacting their publications.

Identifiers

PMID38881963
PMCPMC11177816

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.