Evidence map›Paper›PMID 35377312›Full record

ArticleeLife2022

Why both sides of the gender equation matter.

Lindy E Barrett

Abstract read
In one paragraph

Article in eLife, 2022. 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

1 author.

Lindy E BarrettStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, United States.ORCID 0000-0002-3229-4774

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite efforts to increase gender diversity in science, technology, engineering, mathematics and medicine (STEMM), men continue to hold most tenured and leadership positions. Moreover, the specific population shifts and timelines which may be required to achieve gender parity have not been well delineated. It is obvious that if women are statistically underrepresented in a field, then men must be statistically overrepresented: however, male overrepresentation and related gender-based advantages are rarely mentioned in conversations about gender equality. It is important that actions to address both overrepresentation and underrepresentation are elements of any strategy that seeks to move STEMM fields closer to gender parity.

Indexed as

EngineeringLeadershipFemaleHumansMaleMathematicsgenderinequalitiesmedicineSTEMM

Identifiers

PMID35377312
PMCPMC8979584

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.