Evidence map›Paper›PMID 38496597›Full record

ArticlebioRxiv : the preprint server for biology2024

Analysis of justification for and gender bias in author order among those contributing equally.

Ellie Rose Mattoon, Maisha Miles, Nichole A Broderick, Arturo Casadevall

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

4 authors.

Ellie Rose MattoonORCID 0000-0002-2468-3497
Maisha Miles
Nichole A BroderickORCID 0000-0002-6830-9456
Arturo CasadevallORCID 0000-0002-9402-9167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The practice of designating two or more authors as equal contributors (EC) on a scientific publication is increasingly common as a form of sharing credit. However, EC authors are often unclearly attributed on CVs or citation engines, and it is unclear how research teams determine author order within an EC listing. In response to studies showing that male authors were more likely to be placed first in an EC listing, the American Society of Microbiology (ASM) required that authors explain the reasons for author order beginning in 2020. In this study we analyze data from over 2500 ASM publications to see how this policy affected gender bias and how research teams are making decisions on author order. Data on publications from 2018-2021 show that gender bias was largely nonsignificant both before and after authors were asked by ASM to provide an EC statement. The most likely reasons for EC order included alphabetical order, seniority, and chance, although there were differences for publications from different geographic regions. However, many research teams used unique methods in order selection, highlighting the importance of EC statements to provide clarity for readers, funding agencies, and tenure committees.

Identifiers

PMID38496597
PMCPMC10942287

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.