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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Does the virus cross the road? Viral phylogeographic patterns among bobcat populations reflect a history of urban development
|
|---|---|
| Published in |
Evolutionary Applications, February 2020
|
| DOI | 10.1111/eva.12927 |
| Pubmed ID | |
| Authors |
Christopher P. Kozakiewicz, Christopher P. Burridge, W. Chris Funk, Meggan E. Craft, Kevin R. Crooks, Robert N. Fisher, Nicholas M. Fountain‐Jones, Megan K. Jennings, Simona J. Kraberger, Justin S. Lee, Lisa M. Lyren, Seth P. D. Riley, Laurel E. K. Serieys, Sue VandeWoude, Scott Carver |
X Demographics
The data shown below were collected from the profiles of 16 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 | 5 | 31% |
| Denmark | 1 | 6% |
| Australia | 1 | 6% |
| France | 1 | 6% |
| Unknown | 8 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 63% |
| Members of the public | 5 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 29% |
| Researcher | 6 | 21% |
| Student > Master | 3 | 11% |
| Student > Postgraduate | 2 | 7% |
| Other | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 6 | 21% |
| Agricultural and Biological Sciences | 6 | 21% |
| Environmental Science | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 7 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 05 September 2020.
All research outputs
#3,339,292
of 25,387,668 outputs
Outputs from Evolutionary Applications
#478
of 1,579 outputs
Outputs of similar age
#72,577
of 383,825 outputs
Outputs of similar age from Evolutionary Applications
#13
of 41 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,579 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has gotten more attention than average, scoring higher than 69% 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 383,825 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 81% 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 68% of its contemporaries.