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Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene

Overview of attention for article published in Genome Biology, July 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
5 blogs
twitter
93 X users
patent
1 patent
googleplus
2 Google+ users

Citations

dimensions_citation
228 Dimensions

Readers on

mendeley
408 Mendeley
citeulike
20 CiteULike
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Title
Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene
Published in
Genome Biology, July 2013
DOI 10.1186/gb-2013-14-7-r70
Pubmed ID
Authors

Mar Gonzàlez-Porta, Adam Frankish, Johan Rung, Jennifer Harrow, Alvis Brazma

Abstract

RNA sequencing has opened new avenues for the study of transcriptome composition. Significant evidence has accumulated showing that the human transcriptome contains in excess of a hundred thousand different transcripts. However, it is still not clear to what extent this diversity prevails when considering the relative abundances of different transcripts from the same gene.

X Demographics

X Demographics

The data shown below were collected from the profiles of 93 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 408 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Spain 4 <1%
United Kingdom 4 <1%
Germany 2 <1%
Italy 2 <1%
Netherlands 2 <1%
India 1 <1%
Ukraine 1 <1%
Norway 1 <1%
Other 8 2%
Unknown 378 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 117 29%
Researcher 95 23%
Student > Master 40 10%
Student > Bachelor 25 6%
Professor 20 5%
Other 73 18%
Unknown 38 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 190 47%
Biochemistry, Genetics and Molecular Biology 108 26%
Computer Science 18 4%
Medicine and Dentistry 9 2%
Immunology and Microbiology 7 2%
Other 22 5%
Unknown 54 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 94. 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 05 December 2023.
All research outputs
#451,123
of 25,411,814 outputs
Outputs from Genome Biology
#244
of 4,472 outputs
Outputs of similar age
#3,178
of 206,747 outputs
Outputs of similar age from Genome Biology
#2
of 67 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,472 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 done particularly well, scoring higher than 94% 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 206,747 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 98% of its contemporaries.
We're also able to compare this research output to 67 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 98% of its contemporaries.