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A comprehensive evaluation of ensembl, RefSeq, and UCSC annotations in the context of RNA-seq read mapping and gene quantification

Overview of attention for article published in BMC Genomics, February 2015
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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 (97th percentile)

Mentioned by

blogs
1 blog
twitter
21 X users
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
535 Mendeley
citeulike
2 CiteULike
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Title
A comprehensive evaluation of ensembl, RefSeq, and UCSC annotations in the context of RNA-seq read mapping and gene quantification
Published in
BMC Genomics, February 2015
DOI 10.1186/s12864-015-1308-8
Pubmed ID
Authors

Shanrong Zhao, Baohong Zhang

Abstract

RNA-Seq has become increasingly popular in transcriptome profiling. One aspect of transcriptome research is to quantify the expression levels of genomic elements, such as genes, their transcripts and exons. Acquiring a transcriptome expression profile requires genomic elements to be defined in the context of the genome. Multiple human genome annotation databases exist, including RefGene (RefSeq Gene), Ensembl, and the UCSC annotation database. The impact of the choice of an annotation on estimating gene expression remains insufficiently investigated.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 535 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 2%
United Kingdom 4 <1%
Germany 2 <1%
Japan 2 <1%
Spain 2 <1%
Italy 2 <1%
Brazil 2 <1%
New Zealand 2 <1%
Sweden 1 <1%
Other 10 2%
Unknown 495 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 129 24%
Researcher 127 24%
Student > Master 69 13%
Student > Bachelor 42 8%
Student > Doctoral Student 28 5%
Other 71 13%
Unknown 69 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 189 35%
Biochemistry, Genetics and Molecular Biology 147 27%
Computer Science 29 5%
Medicine and Dentistry 26 5%
Immunology and Microbiology 10 2%
Other 50 9%
Unknown 84 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 22 February 2019.
All research outputs
#1,761,181
of 25,728,855 outputs
Outputs from BMC Genomics
#355
of 11,311 outputs
Outputs of similar age
#21,337
of 269,769 outputs
Outputs of similar age from BMC Genomics
#7
of 262 outputs
Altmetric has tracked 25,728,855 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 11,311 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 269,769 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 262 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 97% of its contemporaries.