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Gamevar.f90: a software package for calculating individual gametic diversity

Overview of attention for article published in BMC Bioinformatics, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
6 tweeters

Readers on

mendeley
6 Mendeley
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Title
Gamevar.f90: a software package for calculating individual gametic diversity
Published in
BMC Bioinformatics, March 2020
DOI 10.1186/s12859-020-3417-x
Pubmed ID
Authors

Daniel Jordan de Abreu Santos, John B. Cole, George E. Liu, Paul M. VanRaden, Li Ma

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 17%
Student > Bachelor 1 17%
Student > Ph. D. Student 1 17%
Student > Master 1 17%
Student > Postgraduate 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 83%
Unknown 1 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 March 2020.
All research outputs
#8,526,555
of 15,791,512 outputs
Outputs from BMC Bioinformatics
#3,001
of 5,711 outputs
Outputs of similar age
#115,256
of 258,737 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 14 outputs
Altmetric has tracked 15,791,512 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,711 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 45th percentile – i.e., 45% 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 258,737 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 54% of its contemporaries.
We're also able to compare this research output to 14 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 64% of its contemporaries.