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Haplotype and isoform specific expression estimation using multi-mapping RNA-seq reads

Overview of attention for article published in Genome Biology, February 2011
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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 (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
4 X users
patent
3 patents

Citations

dimensions_citation
235 Dimensions

Readers on

mendeley
422 Mendeley
citeulike
11 CiteULike
connotea
1 Connotea
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Title
Haplotype and isoform specific expression estimation using multi-mapping RNA-seq reads
Published in
Genome Biology, February 2011
DOI 10.1186/gb-2011-12-2-r13
Pubmed ID
Authors

Ernest Turro, Shu-Yi Su, Ângela Gonçalves, Lachlan JM Coin, Sylvia Richardson, Alex Lewin

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 422 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 19 5%
United Kingdom 5 1%
Germany 4 <1%
France 3 <1%
Italy 3 <1%
Brazil 2 <1%
Sweden 2 <1%
Spain 2 <1%
Hong Kong 1 <1%
Other 10 2%
Unknown 371 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 118 28%
Researcher 117 28%
Student > Master 42 10%
Professor > Associate Professor 28 7%
Professor 20 5%
Other 65 15%
Unknown 32 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 236 56%
Biochemistry, Genetics and Molecular Biology 71 17%
Computer Science 33 8%
Medicine and Dentistry 13 3%
Mathematics 11 3%
Other 19 5%
Unknown 39 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 13 July 2023.
All research outputs
#2,938,449
of 26,017,215 outputs
Outputs from Genome Biology
#2,228
of 4,513 outputs
Outputs of similar age
#16,944
of 201,866 outputs
Outputs of similar age from Genome Biology
#15
of 30 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 50% 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 201,866 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 90% of its contemporaries.
We're also able to compare this research output to 30 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 50% of its contemporaries.