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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Resource selection functions based on hierarchical generalized additive models provide new insights into individual animal variation and species distributions
|
|---|---|
| Published in |
Ecography, October 2021
|
| DOI | 10.1111/ecog.06058 |
| Authors |
Jennifer D. McCabe, John D. Clare, Tricia A. Miller, Todd E. Katzner, Jeff Cooper, Scott Somershoe, David Hanni, Christine A. Kelly, Robert Sargent, Eric C. Soehren, Carrie Threadgill, Mercedes Maddox, Jonathan Stober, Mark Martell, Thomas Salo, Andrew Berry, Michael J. Lanzone, Melissa A. Braham, Christopher J. W. McClure |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 8% |
| Canada | 2 | 5% |
| United Kingdom | 2 | 5% |
| South Africa | 1 | 3% |
| Pakistan | 1 | 3% |
| Peru | 1 | 3% |
| Uruguay | 1 | 3% |
| France | 1 | 3% |
| Unknown | 25 | 68% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 51% |
| Scientists | 17 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 22% |
| Student > Master | 14 | 17% |
| Student > Ph. D. Student | 8 | 10% |
| Student > Doctoral Student | 3 | 4% |
| Student > Bachelor | 3 | 4% |
| Other | 12 | 15% |
| Unknown | 23 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 36% |
| Environmental Science | 17 | 21% |
| Unspecified | 2 | 2% |
| Engineering | 2 | 2% |
| Nursing and Health Professions | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 27 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 25 November 2021.
All research outputs
#1,733,237
of 26,114,666 outputs
Outputs from Ecography
#509
of 2,316 outputs
Outputs of similar age
#39,167
of 446,076 outputs
Outputs of similar age from Ecography
#12
of 41 outputs
Altmetric has tracked 26,114,666 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,316 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.8. This one has done well, scoring higher than 78% 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 446,076 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 91% of its contemporaries.
We're also able to compare this research output to 41 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 70% of its contemporaries.