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Best practices on the differential expression analysis of multi-species RNA-seq

Overview of attention for article published in Genome Biology, April 2021
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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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
28 X users

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
250 Mendeley
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Title
Best practices on the differential expression analysis of multi-species RNA-seq
Published in
Genome Biology, April 2021
DOI 10.1186/s13059-021-02337-8
Pubmed ID
Authors

Matthew Chung, Vincent M. Bruno, David A. Rasko, Christina A. Cuomo, José F. Muñoz, Jonathan Livny, Amol C. Shetty, Anup Mahurkar, Julie C. Dunning Hotopp

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 250 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 18%
Student > Ph. D. Student 38 15%
Student > Bachelor 26 10%
Student > Master 25 10%
Student > Doctoral Student 15 6%
Other 32 13%
Unknown 69 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 72 29%
Agricultural and Biological Sciences 45 18%
Immunology and Microbiology 10 4%
Unspecified 5 2%
Medicine and Dentistry 5 2%
Other 29 12%
Unknown 84 34%
Attention Score in Context

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 09 August 2021.
All research outputs
#2,312,961
of 25,387,668 outputs
Outputs from Genome Biology
#1,907
of 4,470 outputs
Outputs of similar age
#59,668
of 453,918 outputs
Outputs of similar age from Genome Biology
#59
of 95 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 57% 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 453,918 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 95 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.