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Challenges and Opportunities Developing Mathematical Models of Shared Pathogens of Domestic and Wild Animals

Overview of attention for article published in Veterinary Sciences, October 2018
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Mentioned by

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1 tweeter

Citations

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2 Dimensions

Readers on

mendeley
23 Mendeley
Title
Challenges and Opportunities Developing Mathematical Models of Shared Pathogens of Domestic and Wild Animals
Published in
Veterinary Sciences, October 2018
DOI 10.3390/vetsci5040092
Pubmed ID
Authors

Kathryn Huyvaert, Robin Russell, Kelly Patyk, Meggan Craft, Paul Cross, M. Garner, Michael Martin, Pauline Nol, Daniel Walsh

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Master 4 17%
Student > Bachelor 3 13%
Researcher 3 13%
Other 1 4%
Other 2 9%
Unknown 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 39%
Veterinary Science and Veterinary Medicine 2 9%
Medicine and Dentistry 2 9%
Mathematics 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 4 17%
Unknown 4 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 March 2019.
All research outputs
#10,760,238
of 13,526,991 outputs
Outputs from Veterinary Sciences
#163
of 231 outputs
Outputs of similar age
#187,954
of 255,006 outputs
Outputs of similar age from Veterinary Sciences
#2
of 2 outputs
Altmetric has tracked 13,526,991 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 231 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 255,006 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.