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Imperfect pathogen detection from non‐invasive skin swabs biases disease inference

Overview of attention for article published in Methods in Ecology and Evolution, September 2017
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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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

blogs
1 blog
twitter
36 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
86 Mendeley
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Title
Imperfect pathogen detection from non‐invasive skin swabs biases disease inference
Published in
Methods in Ecology and Evolution, September 2017
DOI 10.1111/2041-210x.12868
Authors

Graziella V. DiRenzo, Evan H. Campbell Grant, Ana V. Longo, Christian Che‐Castaldo, Kelly R. Zamudio, Karen R. Lips

Twitter Demographics

The data shown below were collected from the profiles of 36 tweeters 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 23%
Researcher 19 22%
Student > Bachelor 10 12%
Student > Master 9 10%
Other 5 6%
Other 12 14%
Unknown 11 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 51%
Environmental Science 13 15%
Biochemistry, Genetics and Molecular Biology 7 8%
Veterinary Science and Veterinary Medicine 2 2%
Immunology and Microbiology 1 1%
Other 3 3%
Unknown 16 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 08 March 2018.
All research outputs
#1,097,691
of 20,927,597 outputs
Outputs from Methods in Ecology and Evolution
#543
of 2,040 outputs
Outputs of similar age
#24,865
of 290,055 outputs
Outputs of similar age from Methods in Ecology and Evolution
#21
of 53 outputs
Altmetric has tracked 20,927,597 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,040 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has gotten more attention than average, scoring higher than 73% 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 290,055 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 53 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 62% of its contemporaries.