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Predictive Markers of Honey Bee Colony Collapse

Overview of attention for article published in PLOS ONE, February 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
twitter
59 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
302 Dimensions

Readers on

mendeley
423 Mendeley
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Title
Predictive Markers of Honey Bee Colony Collapse
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0032151
Pubmed ID
Authors

Benjamin Dainat, Jay D. Evans, Yan Ping Chen, Laurent Gauthier, Peter Neumann

X Demographics

X Demographics

The data shown below were collected from the profiles of 59 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 423 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
France 2 <1%
Mexico 2 <1%
Brazil 1 <1%
Sweden 1 <1%
Italy 1 <1%
Canada 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Other 1 <1%
Unknown 403 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 17%
Researcher 70 17%
Student > Bachelor 61 14%
Student > Master 56 13%
Student > Doctoral Student 24 6%
Other 79 19%
Unknown 59 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 212 50%
Environmental Science 34 8%
Biochemistry, Genetics and Molecular Biology 27 6%
Veterinary Science and Veterinary Medicine 20 5%
Medicine and Dentistry 9 2%
Other 46 11%
Unknown 75 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 01 March 2023.
All research outputs
#693,726
of 25,540,105 outputs
Outputs from PLOS ONE
#9,269
of 222,663 outputs
Outputs of similar age
#3,106
of 169,348 outputs
Outputs of similar age from PLOS ONE
#114
of 3,532 outputs
Altmetric has tracked 25,540,105 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 222,663 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 95% 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 169,348 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 98% of its contemporaries.
We're also able to compare this research output to 3,532 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.