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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

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
76 Mendeley
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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

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Master 12 16%
Student > Ph. D. Student 12 16%
Student > Bachelor 8 11%
Unspecified 5 7%
Other 9 12%
Unknown 17 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 25%
Medicine and Dentistry 12 16%
Computer Science 9 12%
Agricultural and Biological Sciences 6 8%
Unspecified 5 7%
Other 7 9%
Unknown 18 24%
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 21 May 2019.
All research outputs
#7,148,744
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,747
of 7,387 outputs
Outputs of similar age
#129,791
of 352,360 outputs
Outputs of similar age from BMC Bioinformatics
#83
of 199 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,387 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 61% 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 352,360 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 62% of its contemporaries.
We're also able to compare this research output to 199 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 56% of its contemporaries.