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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SOAPfuse: an algorithm for identifying fusion transcripts from paired-end RNA-Seq data
|
|---|---|
| Published in |
Genome Biology, February 2013
|
| DOI | 10.1186/gb-2013-14-2-r12 |
| Pubmed ID | |
| Authors |
Wenlong Jia, Kunlong Qiu, Minghui He, Pengfei Song, Quan Zhou, Feng Zhou, Yuan Yu, Dandan Zhu, Michael L Nickerson, Shengqing Wan, Xiangke Liao, Xiaoqian Zhu, Shaoliang Peng, Yingrui Li, Jun Wang, Guangwu Guo |
| Abstract |
We have developed a new method, SOAPfuse, to identify fusion transcripts from paired-end RNA-Seq data. SOAPfuse applies an improved partial exhaustion algorithm to construct a library of fusion junction sequences, which can be used to efficiently identify fusion events, and employs a series of filters to nominate high-confidence fusion transcripts. Compared with other released tools, SOAPfuse achieves higher detection efficiency and consumed less computing resources. We applied SOAPfuse to RNA-Seq data from two bladder cancer cell lines, and confirmed 15 fusion transcripts, including several novel events common to both cell lines. SOAPfuse is available at http://soap.genomics.org.cn/soapfuse.html. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 3 | 19% |
| India | 2 | 13% |
| United Kingdom | 2 | 13% |
| France | 2 | 13% |
| China | 1 | 6% |
| Canada | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 63% |
| Members of the public | 4 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 2% |
| United States | 3 | 1% |
| Germany | 2 | <1% |
| Norway | 2 | <1% |
| Sweden | 1 | <1% |
| Singapore | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Belgium | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 190 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 56 | 27% |
| Student > Ph. D. Student | 44 | 21% |
| Student > Master | 25 | 12% |
| Student > Bachelor | 15 | 7% |
| Student > Doctoral Student | 9 | 4% |
| Other | 30 | 14% |
| Unknown | 30 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 39% |
| Biochemistry, Genetics and Molecular Biology | 52 | 25% |
| Computer Science | 23 | 11% |
| Medicine and Dentistry | 12 | 6% |
| Engineering | 2 | <1% |
| Other | 7 | 3% |
| Unknown | 31 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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
#1,444,402
of 26,017,215 outputs
Outputs from Genome Biology
#1,143
of 4,513 outputs
Outputs of similar age
#13,327
of 301,050 outputs
Outputs of similar age from Genome Biology
#16
of 44 outputs
Altmetric has tracked 26,017,215 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 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 74% 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 301,050 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 95% of its contemporaries.
We're also able to compare this research output to 44 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 63% of its contemporaries.