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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessing the robustness of time‐to‐event models for estimating unmarked wildlife abundance using remote cameras
|
|---|---|
| Published in |
Ecological Applications, July 2021
|
| DOI | 10.1002/eap.2388 |
| Pubmed ID | |
| Authors |
Kenneth E. Loonam, Paul M. Lukacs, David E. Ausband, Michael S. Mitchell, Hugh S. Robinson |
X Demographics
The data shown below were collected from the profiles of 17 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 | 7 | 41% |
| Bangladesh | 1 | 6% |
| Curaçao | 1 | 6% |
| Unknown | 8 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Scientists | 8 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 26% |
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 9 | 18% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 2 | 4% |
| Other | 0 | 0% |
| Unknown | 13 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 17 | 34% |
| Agricultural and Biological Sciences | 17 | 34% |
| Medicine and Dentistry | 2 | 4% |
| Unknown | 14 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 30 June 2021.
All research outputs
#4,116,024
of 25,081,505 outputs
Outputs from Ecological Applications
#997
of 3,351 outputs
Outputs of similar age
#86,866
of 428,253 outputs
Outputs of similar age from Ecological Applications
#31
of 69 outputs
Altmetric has tracked 25,081,505 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has gotten more attention than average, scoring higher than 70% 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 428,253 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 79% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.