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SomatoSim: precision simulation of somatic single nucleotide variants

Overview of attention for article published in BMC Bioinformatics, March 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
17 Mendeley
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Title
SomatoSim: precision simulation of somatic single nucleotide variants
Published in
BMC Bioinformatics, March 2021
DOI 10.1186/s12859-021-04024-8
Pubmed ID
Authors

Marwan A. Hawari, Celine S. Hong, Leslie G. Biesecker

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Student > Bachelor 3 18%
Other 2 12%
Unspecified 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 35%
Veterinary Science and Veterinary Medicine 1 6%
Unspecified 1 6%
Agricultural and Biological Sciences 1 6%
Computer Science 1 6%
Other 1 6%
Unknown 6 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 March 2021.
All research outputs
#13,662,605
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#4,091
of 7,418 outputs
Outputs of similar age
#200,179
of 422,777 outputs
Outputs of similar age from BMC Bioinformatics
#99
of 153 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,418 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 42nd percentile – i.e., 42% 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 422,777 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 51% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.