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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of exposure measurement error in air pollution epidemiology: effect of error type in time-series studies
|
|---|---|
| Published in |
Environmental Health, June 2011
|
| DOI | 10.1186/1476-069x-10-61 |
| Pubmed ID | |
| Authors |
Gretchen T Goldman, James A Mulholland, Armistead G Russell, Matthew J Strickland, Mitchel Klein, Lance A Waller, Paige E Tolbert |
| Abstract |
Two distinctly different types of measurement error are Berkson and classical. Impacts of measurement error in epidemiologic studies of ambient air pollution are expected to depend on error type. We characterize measurement error due to instrument imprecision and spatial variability as multiplicative (i.e. additive on the log scale) and model it over a range of error types to assess impacts on risk ratio estimates both on a per measurement unit basis and on a per interquartile range (IQR) basis in a time-series study in Atlanta. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Australia | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Nigeria | 1 | <1% |
| Unknown | 105 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 25% |
| Researcher | 23 | 21% |
| Student > Master | 10 | 9% |
| Other | 6 | 5% |
| Student > Doctoral Student | 5 | 5% |
| Other | 20 | 18% |
| Unknown | 18 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 23 | 21% |
| Medicine and Dentistry | 20 | 18% |
| Engineering | 9 | 8% |
| Agricultural and Biological Sciences | 5 | 5% |
| Nursing and Health Professions | 5 | 5% |
| Other | 21 | 19% |
| Unknown | 27 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 07 March 2017.
All research outputs
#3,104,830
of 22,711,242 outputs
Outputs from Environmental Health
#521
of 1,483 outputs
Outputs of similar age
#15,806
of 115,046 outputs
Outputs of similar age from Environmental Health
#6
of 24 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,483 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 64% 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 115,046 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 86% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.