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Mendeley readers
Attention Score in Context
| Title |
Statistical air quality predictions for public health surveillance: evaluation and generation of county level metrics of PM2.5for the environmental public health tracking network
|
|---|---|
| Published in |
International Journal of Health Geographics, March 2013
|
| DOI | 10.1186/1476-072x-12-12 |
| Pubmed ID | |
| Authors |
Ambarish Vaidyanathan, William Fred Dimmick, Scott R Kegler, Judith R Qualters |
| Abstract |
The Centers for Disease Control and Prevention (CDC) developed county level metrics for the Environmental Public Health Tracking Network (Tracking Network) to characterize potential population exposure to airborne particles with an aerodynamic diameter of 2.5 μm or less (PM(2.5)). These metrics are based on Federal Reference Method (FRM) air monitor data in the Environmental Protection Agency (EPA) Air Quality System (AQS); however, monitor data are limited in space and time. In order to understand air quality in all areas and on days without monitor data, the CDC collaborated with the EPA in the development of hierarchical Bayesian (HB) based predictions of PM(2.5) concentrations. This paper describes the generation and evaluation of HB-based county level estimates of PM(2.5). |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| United Kingdom | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 33 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 19% |
| Researcher | 7 | 19% |
| Student > Ph. D. Student | 6 | 16% |
| Other | 5 | 14% |
| Student > Postgraduate | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 10 | 27% |
| Medicine and Dentistry | 6 | 16% |
| Social Sciences | 3 | 8% |
| Earth and Planetary Sciences | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 7 | 19% |
| Unknown | 7 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 March 2013.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from International Journal of Health Geographics
#573
of 654 outputs
Outputs of similar age
#184,300
of 209,241 outputs
Outputs of similar age from International Journal of Health Geographics
#15
of 19 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 209,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.