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GenePy - a score for estimating gene pathogenicity in individuals using next-generation sequencing data

Overview of attention for article published in BMC Bioinformatics, May 2019
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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 (79th percentile)

Mentioned by

twitter
12 tweeters

Readers on

mendeley
27 Mendeley
Title
GenePy - a score for estimating gene pathogenicity in individuals using next-generation sequencing data
Published in
BMC Bioinformatics, May 2019
DOI 10.1186/s12859-019-2877-3
Pubmed ID
Authors

E. Mossotto, J. J. Ashton, L. O’Gorman, R. J. Pengelly, R. M. Beattie, B. D. MacArthur, S. Ennis

Twitter Demographics

The data shown below were collected from the profiles of 12 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Student > Bachelor 6 22%
Researcher 5 19%
Student > Master 4 15%
Student > Doctoral Student 1 4%
Other 2 7%
Unknown 2 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 33%
Agricultural and Biological Sciences 6 22%
Medicine and Dentistry 4 15%
Computer Science 2 7%
Unspecified 1 4%
Other 3 11%
Unknown 2 7%

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 21 May 2019.
All research outputs
#3,380,708
of 13,110,675 outputs
Outputs from BMC Bioinformatics
#1,514
of 4,925 outputs
Outputs of similar age
#63,905
of 193,353 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 39 outputs
Altmetric has tracked 13,110,675 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,925 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 68% 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 193,353 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 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.