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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Classification and regression trees for epidemiologic research: an air pollution example
|
|---|---|
| Published in |
Environmental Health, March 2014
|
| DOI | 10.1186/1476-069x-13-17 |
| Pubmed ID | |
| Authors |
Katherine Gass, Mitch Klein, Howard H Chang, W Dana Flanders, Matthew J Strickland |
| Abstract |
Identifying and characterizing how mixtures of exposures are associated with health endpoints is challenging. We demonstrate how classification and regression trees can be used to generate hypotheses regarding joint effects from exposure mixtures. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 137 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 22% |
| Student > Ph. D. Student | 27 | 19% |
| Student > Master | 12 | 9% |
| Student > Doctoral Student | 11 | 8% |
| Student > Bachelor | 7 | 5% |
| Other | 23 | 17% |
| Unknown | 29 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 18% |
| Environmental Science | 19 | 14% |
| Social Sciences | 9 | 6% |
| Mathematics | 8 | 6% |
| Nursing and Health Professions | 8 | 6% |
| Other | 32 | 23% |
| Unknown | 38 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 August 2015.
All research outputs
#13,406,705
of 22,751,628 outputs
Outputs from Environmental Health
#964
of 1,485 outputs
Outputs of similar age
#109,512
of 221,241 outputs
Outputs of similar age from Environmental Health
#16
of 22 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,485 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.3. This one is in the 33rd percentile – i.e., 33% 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 221,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.