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SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditions

Overview of attention for article published in Genome Biology, March 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
38 X users
patent
2 patents

Citations

dimensions_citation
405 Dimensions

Readers on

mendeley
335 Mendeley
citeulike
1 CiteULike
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Title
SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditions
Published in
Genome Biology, March 2018
DOI 10.1186/s13059-018-1417-1
Pubmed ID
Authors

Juan L. Trincado, Juan C. Entizne, Gerald Hysenaj, Babita Singh, Miha Skalic, David J. Elliott, Eduardo Eyras

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 335 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 335 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 22%
Researcher 61 18%
Student > Master 37 11%
Student > Bachelor 26 8%
Student > Doctoral Student 14 4%
Other 42 13%
Unknown 82 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 125 37%
Agricultural and Biological Sciences 65 19%
Computer Science 16 5%
Medicine and Dentistry 6 2%
Neuroscience 6 2%
Other 23 7%
Unknown 94 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 07 March 2024.
All research outputs
#1,126,205
of 25,837,817 outputs
Outputs from Genome Biology
#813
of 4,513 outputs
Outputs of similar age
#24,960
of 349,385 outputs
Outputs of similar age from Genome Biology
#11
of 41 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. 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 349,385 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 41 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.