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Origins and characterization of variants shared between databases of somatic and germline human mutations

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
12 X users

Citations

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14 Dimensions

Readers on

mendeley
53 Mendeley
Title
Origins and characterization of variants shared between databases of somatic and germline human mutations
Published in
BMC Bioinformatics, June 2020
DOI 10.1186/s12859-020-3508-8
Pubmed ID
Authors

William Meyerson, John Leisman, Fabio C. P. Navarro, Mark Gerstein

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 17%
Student > Master 7 13%
Student > Ph. D. Student 6 11%
Student > Doctoral Student 5 9%
Other 3 6%
Other 7 13%
Unknown 16 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 30%
Medicine and Dentistry 6 11%
Agricultural and Biological Sciences 4 8%
Social Sciences 2 4%
Computer Science 1 2%
Other 6 11%
Unknown 18 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 23 June 2020.
All research outputs
#4,585,093
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#1,700
of 7,387 outputs
Outputs of similar age
#110,879
of 398,817 outputs
Outputs of similar age from BMC Bioinformatics
#42
of 132 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 done well, scoring higher than 76% 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 398,817 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 72% of its contemporaries.
We're also able to compare this research output to 132 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 68% of its contemporaries.