The data shown below were collected from the profiles of 54 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of camera trap‐based abundance estimators for unmarked populations
|
|---|---|
| Published in |
Ecological Applications, August 2021
|
| DOI | 10.1002/eap.2410 |
| Pubmed ID | |
| Authors |
S. M. Amburgey, A. A. Yackel Adams, B. Gardner, N. J. Hostetter, S. R. Siers, B. T. McClintock, S. J. Converse |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 15% |
| Canada | 1 | 2% |
| France | 1 | 2% |
| Germany | 1 | 2% |
| New Zealand | 1 | 2% |
| Unknown | 42 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 52% |
| Scientists | 25 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 27% |
| Researcher | 13 | 14% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 4 | 4% |
| Other | 10 | 11% |
| Unknown | 23 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 30% |
| Environmental Science | 24 | 27% |
| Social Sciences | 2 | 2% |
| Unspecified | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 27 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 19 February 2022.
All research outputs
#1,298,112
of 26,375,927 outputs
Outputs from Ecological Applications
#358
of 3,447 outputs
Outputs of similar age
#30,075
of 439,248 outputs
Outputs of similar age from Ecological Applications
#11
of 62 outputs
Altmetric has tracked 26,375,927 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,447 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has done well, scoring higher than 89% 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 439,248 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 93% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.