Evidence map›Paper›PMID 32576104›Full record

ArticleProceedings. Biological sciences2020

A scientist like me: demographic analysis of biology textbooks reveals both progress and long-term lags.

Sara Wood, Jeremiah A Henning, Luoying Chen, Taylor McKibben, Michael L Smith, Marjorie Weber, Ash Zemenick, Cissy J Ballen

Open access · greenAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
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

29 citing papers in PubMed, 81 citations in OpenAlex.

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  3. DataVersify: A Framework for Data Literacy Instruction Featuring Scientist Stories.Integrative organismal biology (Oxford, England) · 2026
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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

8 authors at 4 institutions in 2 countries.

Sara WoodDepartment of Biological Sciences, Auburn University, Auburn, AL 36849, USA.
Jeremiah A HenningDepartment of Biology, University of South Alabama, Life Sciences, Mobile, AL 36688, USA.
Luoying ChenDepartment of Biological Sciences, Auburn University, Auburn, AL 36849, USA.
Taylor McKibbenDepartment of Biological Sciences, Auburn University, Auburn, AL 36849, USA.
Michael L SmithDepartment of Collective Behavior, Max Planck Institute of Animal Behavior, Konstanz, Germany.
Marjorie WeberDepartment of Plant Biology, Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI, USA.
Ash ZemenickDepartment of Plant Biology, Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI, USA.
Cissy J BallenDepartment of Biological Sciences, Auburn University, Auburn, AL 36849, USA.
Auburn University · USMichigan State University · USUniversity of Konstanz · DEUniversity of South Alabama · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Textbooks shape teaching and learning in introductory biology and highlight scientists as potential role models who are responsible for significant discoveries. We explore a potential demographic mismatch between the scientists featured in textbooks and the students who use textbooks to learn core concepts in biology. We conducted a demographic analysis by extracting hundreds of human names from common biology textbooks and assessing the binary gender and race of featured scientists. We found that the most common scientists featured in textbooks are white men. However, women and scientists of colour are increasingly represented in contemporary scientific discoveries. In fact, the proportion of women highlighted in textbooks has increased in lockstep with the proportion of women in the field, indicating that textbooks are matching a changing demographic landscape. Despite these gains, the scientists portrayed in textbooks are not representative of their target audience-the student population. Overall, very few scientists of colour were highlighted, and projections suggest it could take multiple centuries at current rates before we reach inclusive representation. We call upon textbook publishers to expand upon the scientists they highlight to reflect the diverse population of learners in biology.

Indexed as

BiologyDemographyFemaleHumansLearningMalebiology textbooksintersectionalityrepresentationrole modelsstem equity

Identifiers

PMID32576104
PMCPMC7329037
OpenAlexW3037227355

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.