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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

policy
2 policy sources
reddit
1 Redditor

Readers on

mendeley
91 Mendeley
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Article details
Title
Estimating State-Specific Contributions to PM2.5- and O3-Related Health Burden from Residential Combustion and Electricity Generating Unit Emissions in the United States
Published in
Environmental Health Perspectives, September 2016
DOI 10.1289/ehp550
Pubmed ID
Authors
Abstract

Residential combustion (RC) and electricity generating unit (EGU) emissions adversely impact air quality and human health by increasing ambient concentrations of fine particulate matter (PM2.5) and ozone (O3). Studies to date have not isolated contributing emissions by state of origin (source-state), which is necessary for policy makers to determine efficient strategies to decrease health impacts. In this study, we aim to estimate health impacts (premature mortalities) attributable to PM2.5 and O3 from RC and EGU emissions by precursor species, source sector, and source-state in the continental US for 2005. We use the Community Multiscale Air Quality model employing the Direct Decoupled Method to quantify changes in air quality and epidemiological evidence to determine concentration-response functions to calculate associated health impacts. We estimate 21,000 premature mortalities per year from EGU emissions, driven by SO2 emissions forming PM2.5. More than half of EGU health impacts are attributable to emissions from eight states with significant coal combustion and large downwind populations. We estimate 10,000 premature mortalities per year from RC emissions, driven by primary PM2.5 emissions. States with large populations and significant residential wood combustion dominate RC health impacts. Annual mortality risk per thousand tons of precursor emissions (health damage functions) varied significantly across source-states for both source sectors and all precursor pollutants. Our findings reinforce the importance of pollutant-specific, location-specific, and source-specific models of health impacts in design of health-risk minimizing emissions control policies.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
France 1 1%
Unknown 89 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 18 20%
Student > Ph. D. Student 17 19%
Student > Master 9 10%
Student > Bachelor 6 7%
Other 5 5%
Other 11 12%
Unknown 25 27%
Readers by discipline
Readers by discipline Count As %
Environmental Science 23 25%
Engineering 14 15%
Earth and Planetary Sciences 7 8%
Medicine and Dentistry 5 5%
Agricultural and Biological Sciences 4 4%
Other 9 10%
Unknown 29 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2025.
All research outputs
#7,008,171
of 33,077,492 outputs
Outputs from Environmental Health Perspectives
#4,636
of 10,145 outputs
Outputs of similar age
#82,010
of 329,691 outputs
Outputs of similar age from Environmental Health Perspectives
#30
of 68 outputs
Altmetric has tracked 33,077,492 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,145 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.