You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors
|
|---|---|
| Published in |
Environmental Science & Technology, January 2019
|
| DOI | 10.1021/acs.est.8b06392 |
| Pubmed ID | |
| Authors |
Aaron van Donkelaar, Randall V. Martin, Chi Li, Richard T. Burnett |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| Italy | 1 | 14% |
| Germany | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 266 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 63 | 24% |
| Researcher | 38 | 14% |
| Student > Master | 34 | 13% |
| Student > Bachelor | 15 | 6% |
| Other | 14 | 5% |
| Other | 38 | 14% |
| Unknown | 64 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 49 | 18% |
| Earth and Planetary Sciences | 29 | 11% |
| Economics, Econometrics and Finance | 17 | 6% |
| Engineering | 15 | 6% |
| Medicine and Dentistry | 12 | 5% |
| Other | 54 | 20% |
| Unknown | 90 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 73. 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 May 2024.
All research outputs
#603,376
of 25,899,121 outputs
Outputs from Environmental Science & Technology
#885
of 21,243 outputs
Outputs of similar age
#13,780
of 449,731 outputs
Outputs of similar age from Environmental Science & Technology
#19
of 223 outputs
Altmetric has tracked 25,899,121 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one has done particularly well, scoring higher than 95% 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 449,731 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 223 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.