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Understanding uncertainty in temperature effects on vector‐borne disease: a Bayesian approach

Overview of attention for article published in Ecology, January 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
166 Mendeley
citeulike
1 CiteULike
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Title
Understanding uncertainty in temperature effects on vector‐borne disease: a Bayesian approach
Published in
Ecology, January 2015
DOI 10.1890/13-1964.1
Pubmed ID
Authors

Leah R. Johnson, Tal Ben-Horin, Kevin D. Lafferty, Amy McNally, Erin Mordecai, Krijn P. Paaijmans, Samraat Pawar, Sadie J. Ryan

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 3%
Spain 1 <1%
New Zealand 1 <1%
Mexico 1 <1%
Unknown 158 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 19%
Student > Ph. D. Student 32 19%
Student > Bachelor 19 11%
Student > Master 15 9%
Student > Doctoral Student 9 5%
Other 26 16%
Unknown 33 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 33%
Environmental Science 14 8%
Medicine and Dentistry 10 6%
Mathematics 8 5%
Biochemistry, Genetics and Molecular Biology 7 4%
Other 26 16%
Unknown 47 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 August 2015.
All research outputs
#7,044,446
of 23,340,595 outputs
Outputs from Ecology
#3,014
of 6,631 outputs
Outputs of similar age
#95,701
of 355,827 outputs
Outputs of similar age from Ecology
#38
of 82 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 6,631 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 54% 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 355,827 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 82 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 54% of its contemporaries.