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Optimum contribution selection for animal breeding and conservation: the R package optiSel

Overview of attention for article published in BMC Bioinformatics, January 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Readers on

mendeley
80 Mendeley
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Title
Optimum contribution selection for animal breeding and conservation: the R package optiSel
Published in
BMC Bioinformatics, January 2019
DOI 10.1186/s12859-018-2450-5
Pubmed ID
Authors

Robin Wellmann

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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Researcher 12 15%
Student > Ph. D. Student 11 14%
Student > Doctoral Student 4 5%
Other 4 5%
Other 11 14%
Unknown 25 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 38%
Biochemistry, Genetics and Molecular Biology 6 8%
Environmental Science 2 3%
Unspecified 2 3%
Veterinary Science and Veterinary Medicine 2 3%
Other 4 5%
Unknown 34 43%
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 01 January 2023.
All research outputs
#7,712,235
of 23,979,951 outputs
Outputs from BMC Bioinformatics
#2,950
of 7,490 outputs
Outputs of similar age
#155,352
of 444,578 outputs
Outputs of similar age from BMC Bioinformatics
#76
of 202 outputs
Altmetric has tracked 23,979,951 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,490 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 59% 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 444,578 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 64% of its contemporaries.
We're also able to compare this research output to 202 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 61% of its contemporaries.