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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)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
11 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
61 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

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 30%
Student > Ph. D. Student 12 20%
Student > Master 7 11%
Student > Bachelor 4 7%
Professor 2 3%
Other 6 10%
Unknown 12 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 30%
Biochemistry, Genetics and Molecular Biology 13 21%
Medicine and Dentistry 4 7%
Computer Science 2 3%
Social Sciences 2 3%
Other 7 11%
Unknown 15 25%

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
#3,381,791
of 21,825,352 outputs
Outputs from BMC Bioinformatics
#1,261
of 7,050 outputs
Outputs of similar age
#71,646
of 307,022 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 18 outputs
Altmetric has tracked 21,825,352 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,050 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 82% 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 307,022 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 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.