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RASflow: an RNA-Seq analysis workflow with Snakemake

Overview of attention for article published in BMC Bioinformatics, March 2020
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
2 blogs
twitter
8 tweeters

Readers on

mendeley
54 Mendeley
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Title
RASflow: an RNA-Seq analysis workflow with Snakemake
Published in
BMC Bioinformatics, March 2020
DOI 10.1186/s12859-020-3433-x
Pubmed ID
Authors

Xiaokang Zhang, Inge Jonassen

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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 28%
Researcher 15 28%
Student > Doctoral Student 3 6%
Student > Master 3 6%
Student > Bachelor 2 4%
Other 8 15%
Unknown 8 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 37%
Agricultural and Biological Sciences 7 13%
Medicine and Dentistry 4 7%
Computer Science 2 4%
Environmental Science 1 2%
Other 7 13%
Unknown 13 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 29 March 2020.
All research outputs
#1,284,903
of 15,922,732 outputs
Outputs from BMC Bioinformatics
#378
of 5,768 outputs
Outputs of similar age
#36,119
of 266,193 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 16 outputs
Altmetric has tracked 15,922,732 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,768 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 93% 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 266,193 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 86% of its contemporaries.
We're also able to compare this research output to 16 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 93% of its contemporaries.