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NASQAR: a web-based platform for high-throughput sequencing data analysis and visualization

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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
10 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
80 Mendeley
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Title
NASQAR: a web-based platform for high-throughput sequencing data analysis and visualization
Published in
BMC Bioinformatics, June 2020
DOI 10.1186/s12859-020-03577-4
Pubmed ID
Authors

Ayman Yousif, Nizar Drou, Jillian Rowe, Mohammed Khalfan, Kristin C. Gunsalus

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 24%
Student > Ph. D. Student 14 18%
Student > Master 8 10%
Student > Bachelor 5 6%
Professor 2 3%
Other 10 13%
Unknown 22 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 24%
Biochemistry, Genetics and Molecular Biology 14 18%
Medicine and Dentistry 4 5%
Computer Science 3 4%
Unspecified 2 3%
Other 11 14%
Unknown 27 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 02 July 2020.
All research outputs
#3,781,398
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#1,369
of 7,418 outputs
Outputs of similar age
#92,703
of 400,607 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 124 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 81% 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 400,607 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 76% of its contemporaries.
We're also able to compare this research output to 124 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 70% of its contemporaries.