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Barnacle: detecting and characterizing tandem duplications and fusions in transcriptome assemblies

Overview of attention for article published in BMC Genomics, August 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 (89th percentile)

Mentioned by

blogs
1 blog
twitter
7 tweeters
q&a
1 Q&A thread

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
51 Mendeley
citeulike
1 CiteULike
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Title
Barnacle: detecting and characterizing tandem duplications and fusions in transcriptome assemblies
Published in
BMC Genomics, August 2013
DOI 10.1186/1471-2164-14-550
Pubmed ID
Authors

Lucas Swanson, Gordon Robertson, Karen L Mungall, Yaron S Butterfield, Readman Chiu, Richard D Corbett, T Roderick Docking, Donna Hogge, Shaun D Jackman, Richard A Moore, Andrew J Mungall, Ka Ming Nip, Jeremy DK Parker, Jenny Qing Qian, Anthony Raymond, Sandy Sung, Angela Tam, Nina Thiessen, Richard Varhol, Sherry Wang, Deniz Yorukoglu, YongJun Zhao, Pamela A Hoodless, S Cenk Sahinalp, Aly Karsan, Inanc Birol

Abstract

Chimeric transcripts, including partial and internal tandem duplications (PTDs, ITDs) and gene fusions, are important in the detection, prognosis, and treatment of human cancers.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
United States 2 4%
Norway 1 2%
Argentina 1 2%
Australia 1 2%
Unknown 44 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 33%
Student > Ph. D. Student 10 20%
Student > Master 8 16%
Professor 4 8%
Professor > Associate Professor 2 4%
Other 7 14%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 47%
Biochemistry, Genetics and Molecular Biology 6 12%
Medicine and Dentistry 5 10%
Computer Science 4 8%
Chemistry 2 4%
Other 8 16%
Unknown 2 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 31 May 2017.
All research outputs
#1,623,849
of 17,363,630 outputs
Outputs from BMC Genomics
#543
of 9,281 outputs
Outputs of similar age
#17,557
of 174,711 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
Altmetric has tracked 17,363,630 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,281 research outputs from this source. They receive a mean Attention Score of 4.3. 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 174,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 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