Evidence map›Paper›PMID 39259199›Full record

ArticleeLife2024

Identifying images in the biology literature that are problematic for people with a color-vision deficiency.

Harlan P Stevens, Carly V Winegar, Arwen F Oakley, Stephen R Piccolo

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

4 authors.

Harlan P StevensDepartment of Biology, Brigham Young University, Provo, United States.
Carly V WinegarDepartment of Biology, Brigham Young University, Provo, United States.
Arwen F OakleyDepartment of Biology, Brigham Young University, Provo, United States.
Stephen R PiccoloDepartment of Biology, Brigham Young University, Provo, United States.ORCID https://orcid.org/0000-0003-2001-5640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To help maximize the impact of scientific journal articles, authors must ensure that article figures are accessible to people with color-vision deficiencies (CVDs), which affect up to 8% of males and 0.5% of females. We evaluated images published in biology- and medicine-oriented research articles between 2012 and 2022. Most included at least one color contrast that could be problematic for people with deuteranopia ('deuteranopes'), the most common form of CVD. However, spatial distances and within-image labels frequently mitigated potential problems. Initially, we reviewed 4964 images from

Indexed as

Color Vision DefectsFemaleHumansMachine LearningMaleaccessibilitycolor vision deficiencycomputational biologyconvolutional neural networkdeuteranopiaimage classificationnonescientific publishingsystems biology

Identifiers

PMID39259199
PMCPMC11390107

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.