The data shown below were collected from the profiles of 19 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 |
Urban landscapes can change virus gene flow and evolution in a fragmentation‐sensitive carnivore
|
|---|---|
| Published in |
Molecular Ecology, November 2017
|
| DOI | 10.1111/mec.14375 |
| Pubmed ID | |
| Authors |
Nicholas M. Fountain‐Jones, Meggan E. Craft, W. Chris Funk, Chris Kozakiewicz, Daryl R. Trumbo, Erin E. Boydston, Lisa M. Lyren, Kevin Crooks, Justin S. Lee, Sue VandeWoude, Scott Carver |
| Abstract |
Urban expansion has widespread impacts on wildlife species globally, including the transmission and emergence of infectious diseases. However, there is almost no information about how urban landscapes shape transmission dynamics in wildlife. Using an innovative phylodynamic approach combining host and pathogen molecular data with landscape characteristics and host traits, we untangle the complex factors that drive transmission networks of Feline Immunodeficiency Virus (FIV) in bobcats (Lynx rufus). We found that the urban landscape played a significant role in shaping FIV transmission. Even though bobcats were often trapped within the urban matrix, FIV transmission events were more likely to occur in areas with more natural habitat elements. Urban fragmentation also resulted in lower rates of pathogen evolution, possibly owing to a narrower range of host genotypes in the fragmented area. Combined, our findings show that urban landscapes can have impacts on a pathogen and its evolution in a carnivore living in one of the most fragmented and urban systems in North America. The analytical approach used here can be broadly applied to other host-pathogen systems, including humans. This article is protected by copyright. All rights reserved. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 26% |
| New Zealand | 1 | 5% |
| Unknown | 13 | 68% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 6 | 32% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 25% |
| Researcher | 19 | 19% |
| Student > Bachelor | 10 | 10% |
| Student > Master | 9 | 9% |
| Student > Postgraduate | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 22 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 40% |
| Environmental Science | 11 | 11% |
| Veterinary Science and Veterinary Medicine | 9 | 9% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Medicine and Dentistry | 4 | 4% |
| Other | 7 | 7% |
| Unknown | 23 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 June 2019.
All research outputs
#2,013,721
of 26,310,456 outputs
Outputs from Molecular Ecology
#885
of 6,847 outputs
Outputs of similar age
#38,304
of 344,861 outputs
Outputs of similar age from Molecular Ecology
#27
of 105 outputs
Altmetric has tracked 26,310,456 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,847 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done well, scoring higher than 87% 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 344,861 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 88% of its contemporaries.
We're also able to compare this research output to 105 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 74% of its contemporaries.