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Using genetic relatedness to understand heterogeneous distributions of urban rat‐associated pathogens

Overview of attention for article published in Evolutionary Applications, July 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
22 X users
reddit
1 Redditor

Readers on

mendeley
47 Mendeley
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Article details
Title
Using genetic relatedness to understand heterogeneous distributions of urban rat‐associated pathogens
Published in
Evolutionary Applications, July 2020
DOI 10.1111/eva.13049
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Researcher 6 13%
Student > Doctoral Student 5 11%
Student > Master 5 11%
Unspecified 1 2%
Other 4 9%
Unknown 19 40%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 11 23%
Biochemistry, Genetics and Molecular Biology 4 9%
Veterinary Science and Veterinary Medicine 3 6%
Immunology and Microbiology 2 4%
Unspecified 1 2%
Other 5 11%
Unknown 21 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 November 2025.
All research outputs
#3,576,091
of 32,867,376 outputs
Outputs from Evolutionary Applications
#413
of 1,756 outputs
Outputs of similar age
#73,852
of 448,958 outputs
Outputs of similar age from Evolutionary Applications
#19
of 56 outputs
Altmetric has tracked 32,867,376 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,756 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done well, scoring higher than 76% 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 448,958 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 83% of its contemporaries.
We're also able to compare this research output to 56 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 66% of its contemporaries.