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Bootstrap-based differential gene expression analysis for RNA-Seq data with and without replicates

Overview of attention for article published in BMC Genomics, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
115 Mendeley
citeulike
1 CiteULike
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Title
Bootstrap-based differential gene expression analysis for RNA-Seq data with and without replicates
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-s8-s2
Pubmed ID
Authors

Sahar Al Seesi, Yvette Temate Tiagueu, Alexander Zelikovsky, Ion I Măndoiu

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Mexico 2 2%
Chile 1 <1%
Brazil 1 <1%
Czechia 1 <1%
Sweden 1 <1%
Slovakia 1 <1%
United States 1 <1%
Unknown 105 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 25%
Student > Master 24 21%
Researcher 21 18%
Student > Bachelor 7 6%
Other 6 5%
Other 13 11%
Unknown 15 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 33%
Biochemistry, Genetics and Molecular Biology 30 26%
Computer Science 9 8%
Immunology and Microbiology 4 3%
Medicine and Dentistry 4 3%
Other 13 11%
Unknown 17 15%
Attention Score in Context

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 24 February 2015.
All research outputs
#7,368,215
of 23,975,976 outputs
Outputs from BMC Genomics
#3,300
of 10,871 outputs
Outputs of similar age
#78,264
of 262,394 outputs
Outputs of similar age from BMC Genomics
#74
of 282 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,871 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 69% 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 262,394 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 69% of its contemporaries.
We're also able to compare this research output to 282 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.