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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 57% |
| France | 1 | 14% |
| Germany | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| United States | 2 | 3% |
| Norway | 1 | 2% |
| Argentina | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 51 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 29% |
| Student > Ph. D. Student | 12 | 21% |
| Student > Master | 8 | 14% |
| Professor | 5 | 9% |
| Student > Bachelor | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 41% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Medicine and Dentistry | 6 | 10% |
| Computer Science | 5 | 9% |
| Environmental Science | 2 | 3% |
| Other | 9 | 16% |
| Unknown | 6 | 10% |
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
#2,249,300
of 23,339,727 outputs
Outputs from BMC Genomics
#657
of 10,744 outputs
Outputs of similar age
#19,905
of 197,936 outputs
Outputs of similar age from BMC Genomics
#12
of 130 outputs
Altmetric has tracked 23,339,727 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 10,744 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 93% 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 197,936 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 130 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 91% of its contemporaries.