Evidence map›Paper›PMID 37455865›Full record

ArticleEnvironmental science & technology letters2023

Sociodemographic Disparities in Mercury Exposure from United States Coal-Fired Power Plants.

Mona Q Dai, Benjamin M Geyman, Xindi C Hu, Colin P Thackray, Elsie M Sunderland

Open access · hybridAbstract read
In one paragraph

Article in Environmental science & technology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Arsenic, mercury, manganese, and lead exposure in Mexican adults aged 50 and older.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025
    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

5 authors at 2 institutions in 1 country.

Mona Q DaiHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.ORCID https://orcid.org/0000-0003-3724-7675
Benjamin M GeymanHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.ORCID https://orcid.org/0000-0001-6217-4338
Xindi C HuMathematica, Inc., Oakland, California 94612, United States.ORCID https://orcid.org/0000-0002-4299-3931
Colin P ThackrayHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.
Elsie M SunderlandHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.ORCID https://orcid.org/0000-0003-0386-9548
Harvard University · USMathematica Policy Research · US

Funding

Spatial patterns of metals and metal mixtures in drinking waterP42ES030990 · NIEHS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI LU, QUAN · 2020 to 2024
$8.3M
NIEHS NIH HHS P42 ES030990
6 · The paper itself

Abstract

Hazardous air pollutants emitted by United States (U.S) coal-fired power plants have been controlled by the Mercury and Air Toxics Standards (MATS) since 2012. Sociodemographic disparities in traditional air pollutant exposures from U.S. power plants are known to occur but have not been evaluated for mercury (Hg), a neurotoxicant that bioaccumulates in food webs. Atmospheric Hg deposition from domestic power plants decreased by 91% across the contiguous U.S. from 6.4 Mg in 2010 to 0.55 Mg in 2020. Prior to MATS, populations living within 5 km of power plants (

Identifiers

PMID37455865
PMCPMC10339720
OpenAlexW4379380815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.