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Computer software for identification of honey bee subspecies and evolutionary lineages

Overview of attention for article published in Apidologie, August 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
87 Mendeley
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Title
Computer software for identification of honey bee subspecies and evolutionary lineages
Published in
Apidologie, August 2017
DOI 10.1007/s13592-017-0538-y
Authors

Anna Nawrocka, İrfan Kandemir, Stefan Fuchs, Adam Tofilski

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 22%
Student > Ph. D. Student 15 17%
Student > Master 11 13%
Student > Postgraduate 5 6%
Student > Bachelor 5 6%
Other 8 9%
Unknown 24 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 37%
Biochemistry, Genetics and Molecular Biology 9 10%
Environmental Science 7 8%
Engineering 3 3%
Veterinary Science and Veterinary Medicine 1 1%
Other 5 6%
Unknown 30 34%
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 30 October 2018.
All research outputs
#6,499,677
of 23,043,346 outputs
Outputs from Apidologie
#218
of 805 outputs
Outputs of similar age
#103,840
of 317,668 outputs
Outputs of similar age from Apidologie
#3
of 10 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 805 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 71% 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 317,668 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 66% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.