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Performance assessment of variant calling pipelines using human whole exome sequencing and simulated data

Overview of attention for article published in BMC Bioinformatics, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
15 X users

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
239 Mendeley
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Title
Performance assessment of variant calling pipelines using human whole exome sequencing and simulated data
Published in
BMC Bioinformatics, June 2019
DOI 10.1186/s12859-019-2928-9
Pubmed ID
Authors

Manojkumar Kumaran, Umadevi Subramanian, Bharanidharan Devarajan

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 239 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 15%
Student > Master 35 15%
Student > Ph. D. Student 31 13%
Student > Bachelor 24 10%
Other 15 6%
Other 32 13%
Unknown 67 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 98 41%
Agricultural and Biological Sciences 30 13%
Computer Science 10 4%
Medicine and Dentistry 8 3%
Mathematics 4 2%
Other 18 8%
Unknown 71 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 05 November 2021.
All research outputs
#2,320,904
of 23,870,022 outputs
Outputs from BMC Bioinformatics
#600
of 7,480 outputs
Outputs of similar age
#49,815
of 354,436 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 169 outputs
Altmetric has tracked 23,870,022 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,480 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 particularly well, scoring higher than 91% 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 354,436 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.