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Mendeley readers
Attention Score in Context
Title |
Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors
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Published in |
Environmental Health, August 2014
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DOI | 10.1186/1476-069x-13-63 |
Pubmed ID | |
Authors |
Jeff D Yanosky, Christopher J Paciorek, Francine Laden, Jaime E Hart, Robin C Puett, Duanping Liao, Helen H Suh |
Abstract |
Exposure to atmospheric particulate matter (PM) remains an important public health concern, although it remains difficult to quantify accurately across large geographic areas with sufficiently high spatial resolution. Recent epidemiologic analyses have demonstrated the importance of spatially- and temporally-resolved exposure estimates, which show larger PM-mediated health effects as compared to nearest monitor or county-specific ambient concentrations. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Israel | 1 | <1% |
Unknown | 117 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 21% |
Student > Master | 21 | 17% |
Researcher | 18 | 15% |
Student > Doctoral Student | 13 | 11% |
Student > Bachelor | 7 | 6% |
Other | 20 | 17% |
Unknown | 17 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 29 | 24% |
Engineering | 11 | 9% |
Computer Science | 10 | 8% |
Earth and Planetary Sciences | 9 | 7% |
Medicine and Dentistry | 9 | 7% |
Other | 28 | 23% |
Unknown | 25 | 21% |
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 11 May 2016.
All research outputs
#4,600,662
of 22,794,367 outputs
Outputs from Environmental Health
#619
of 1,488 outputs
Outputs of similar age
#45,994
of 230,176 outputs
Outputs of similar age from Environmental Health
#10
of 18 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,488 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.3. This one has gotten more attention than average, scoring higher than 57% 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 230,176 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.