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Genome-wide patterns of differentiation within and among U.S. commercial honey bee stocks

Overview of attention for article published in BMC Genomics, October 2020
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1 X user

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50 Mendeley
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Title
Genome-wide patterns of differentiation within and among U.S. commercial honey bee stocks
Published in
BMC Genomics, October 2020
DOI 10.1186/s12864-020-07111-x
Pubmed ID
Authors

Perot Saelao, Michael Simone-Finstrom, Arian Avalos, Lelania Bilodeau, Robert Danka, Lilia de Guzman, Frank Rinkevich, Philip Tokarz

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Ph. D. Student 6 12%
Student > Master 5 10%
Other 2 4%
Professor > Associate Professor 2 4%
Other 5 10%
Unknown 21 42%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 28%
Biochemistry, Genetics and Molecular Biology 3 6%
Environmental Science 2 4%
Veterinary Science and Veterinary Medicine 2 4%
Nursing and Health Professions 1 2%
Other 3 6%
Unknown 25 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 October 2020.
All research outputs
#20,653,779
of 23,248,929 outputs
Outputs from BMC Genomics
#9,344
of 10,731 outputs
Outputs of similar age
#355,305
of 415,365 outputs
Outputs of similar age from BMC Genomics
#132
of 182 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,731 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 415,365 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.