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TCC: an R package for comparing tag count data with robust normalization strategies

Overview of attention for article published in BMC Bioinformatics, January 2013
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
16 tweeters
patent
1 patent

Citations

dimensions_citation
257 Dimensions

Readers on

mendeley
263 Mendeley
citeulike
6 CiteULike
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Title
TCC: an R package for comparing tag count data with robust normalization strategies
Published in
BMC Bioinformatics, January 2013
DOI 10.1186/1471-2105-14-219
Pubmed ID
Authors

Jianqiang Sun, Tomoaki Nishiyama, Kentaro Shimizu, Koji Kadota

Abstract

Differential expression analysis based on "next-generation" sequencing technologies is a fundamental means of studying RNA expression. We recently developed a multi-step normalization method (called TbT) for two-group RNA-seq data with replicates and demonstrated that the statistical methods available in four R packages (edgeR, DESeq, baySeq, and NBPSeq) together with TbT can produce a well-ranked gene list in which true differentially expressed genes (DEGs) are top-ranked and non-DEGs are bottom ranked. However, the advantages of the current TbT method come at the cost of a huge computation time. Moreover, the R packages did not have normalization methods based on such a multi-step strategy.

Twitter Demographics

The data shown below were collected from the profiles of 16 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 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Japan 3 1%
United Kingdom 2 <1%
Germany 2 <1%
Denmark 1 <1%
Mexico 1 <1%
Norway 1 <1%
Russia 1 <1%
Netherlands 1 <1%
Other 1 <1%
Unknown 245 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 73 28%
Student > Ph. D. Student 56 21%
Student > Master 33 13%
Student > Bachelor 22 8%
Student > Doctoral Student 14 5%
Other 44 17%
Unknown 21 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 130 49%
Biochemistry, Genetics and Molecular Biology 53 20%
Medicine and Dentistry 14 5%
Computer Science 10 4%
Neuroscience 6 2%
Other 19 7%
Unknown 31 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 01 February 2018.
All research outputs
#1,212,105
of 17,351,915 outputs
Outputs from BMC Bioinformatics
#275
of 6,150 outputs
Outputs of similar age
#12,387
of 163,609 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 5 outputs
Altmetric has tracked 17,351,915 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,150 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 95% 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 163,609 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them