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SEQing: web-based visualization of iCLIP and RNA-seq data in an interactive python framework

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

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
17 Mendeley
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Title
SEQing: web-based visualization of iCLIP and RNA-seq data in an interactive python framework
Published in
BMC Bioinformatics, March 2020
DOI 10.1186/s12859-020-3434-9
Pubmed ID
Authors

Martin Lewinski, Yannik Bramkamp, Tino Köster, Dorothee Staiger

Twitter Demographics

The data shown below were collected from the profiles of 8 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 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 %
Student > Ph. D. Student 5 29%
Student > Bachelor 4 24%
Professor 1 6%
Other 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 29%
Agricultural and Biological Sciences 3 18%
Engineering 2 12%
Chemistry 1 6%
Social Sciences 1 6%
Other 0 0%
Unknown 5 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 August 2021.
All research outputs
#6,876,882
of 21,858,102 outputs
Outputs from BMC Bioinformatics
#2,769
of 7,056 outputs
Outputs of similar age
#114,471
of 290,442 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 15 outputs
Altmetric has tracked 21,858,102 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,056 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 gotten more attention than average, scoring higher than 59% 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 290,442 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 60% of its contemporaries.
We're also able to compare this research output to 15 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 73% of its contemporaries.