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PyToxo: a Python tool for calculating penetrance tables of high-order epistasis models

Overview of attention for article published in BMC Bioinformatics, April 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
7 tweeters

Readers on

mendeley
4 Mendeley
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Title
PyToxo: a Python tool for calculating penetrance tables of high-order epistasis models
Published in
BMC Bioinformatics, April 2022
DOI 10.1186/s12859-022-04645-7
Authors

Borja González-Seoane, Christian Ponte-Fernández, Jorge González-Domínguez, María J. Martín

Twitter Demographics

The data shown below were collected from the profiles of 7 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Lecturer > Senior Lecturer 1 25%
Unknown 2 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Unspecified 1 25%
Unknown 1 25%

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 04 April 2022.
All research outputs
#12,567,396
of 22,154,328 outputs
Outputs from BMC Bioinformatics
#3,718
of 7,121 outputs
Outputs of similar age
#142,042
of 342,419 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 13 outputs
Altmetric has tracked 22,154,328 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,121 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 342,419 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 57% of its contemporaries.
We're also able to compare this research output to 13 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.