Evidence map›Paper›PMID 30893328›Full record

ArticlePloS one2019

Diversity of artists in major U.S. museums.

Chad M Topaz, Bernhard Klingenberg, Daniel Turek, Brianna Heggeseth, Pamela E Harris, Julie C Blackwood, C Ondine Chavoya, Steven Nelson, Kevin M Murphy

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
17.0field-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

5 citing papers in PubMed, 52 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Chad M TopazDepartment of Mathematics and Statistics, Williams College, Williamstown, MA, United States of America.ORCID 0000-0001-9977-3414
Bernhard KlingenbergDepartment of Mathematics and Statistics, Williams College, Williamstown, MA, United States of America.
Daniel TurekDepartment of Mathematics and Statistics, Williams College, Williamstown, MA, United States of America.ORCID 0000-0002-1453-1908
Brianna HeggesethDepartment of Mathematics and Statistics, Williams College, Williamstown, MA, United States of America.
Pamela E HarrisDepartment of Mathematics and Statistics, Williams College, Williamstown, MA, United States of America.
Julie C BlackwoodDepartment of Mathematics and Statistics, Williams College, Williamstown, MA, United States of America.
C Ondine ChavoyaDepartment of Art, Williams College, Williamstown, MA, United States of America.
Steven NelsonDepartment of Art History, University of California Los Angeles, Los Angeles, CA, United States of America.
Kevin M MurphyWilliams College Museum of Art, Williamstown, MA, United States of America.
Williams College · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The U.S. art museum sector is grappling with diversity. While previous work has investigated the demographic diversity of museum staffs and visitors, the diversity of artists in their collections has remained unreported. We conduct the first large-scale study of artist diversity in museums. By scraping the public online catalogs of 18 major U.S. museums, deploying a sample of 10,000 artist records comprising over 9,000 unique artists to crowdsourcing, and analyzing 45,000 responses, we infer artist genders, ethnicities, geographic origins, and birth decades. Our results are threefold. First, we provide estimates of gender and ethnic diversity at each museum, and overall, we find that 85% of artists are white and 87% are men. Second, we identify museums that are outliers, having significantly higher or lower representation of certain demographic groups than the rest of the pool. Third, we find that the relationship between museum collection mission and artist diversity is weak, suggesting that a museum wishing to increase diversity might do so without changing its emphases on specific time periods and regions. Our methodology can be used to broadly and efficiently assess diversity in other fields.

Indexed as

ArtCultural DiversityMuseumsHumansUnited States

Identifiers

PMID30893328
PMCPMC6426178
OpenAlexW2949080798

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.