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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SQUID: transcriptomic structural variation detection from RNA-seq
|
|---|---|
| Published in |
Genome Biology, April 2018
|
| DOI | 10.1186/s13059-018-1421-5 |
| Pubmed ID | |
| Authors |
Cong Ma, Mingfu Shao, Carl Kingsford |
| Abstract |
Transcripts are frequently modified by structural variations, which lead to fused transcripts of either multiple genes, known as a fusion gene, or a gene and a previously non-transcribed sequence. Detecting these modifications, called transcriptomic structural variations (TSVs), especially in cancer tumor sequencing, is an important and challenging computational problem. We introduce SQUID, a novel algorithm to predict both fusion-gene and non-fusion-gene TSVs accurately from RNA-seq alignments. SQUID unifies both concordant and discordant read alignments into one model and doubles the precision on simulation data compared to other approaches. Using SQUID, we identify novel non-fusion-gene TSVs on TCGA samples. |
X Demographics
The data shown below were collected from the profiles of 29 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 | 14% |
| France | 3 | 10% |
| United Kingdom | 2 | 7% |
| Switzerland | 1 | 3% |
| Spain | 1 | 3% |
| Germany | 1 | 3% |
| India | 1 | 3% |
| China | 1 | 3% |
| Ukraine | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 14 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 52% |
| Scientists | 13 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 132 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 23% |
| Student > Ph. D. Student | 25 | 19% |
| Student > Master | 12 | 9% |
| Other | 10 | 8% |
| Student > Bachelor | 8 | 6% |
| Other | 21 | 16% |
| Unknown | 25 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 43 | 33% |
| Agricultural and Biological Sciences | 36 | 27% |
| Computer Science | 9 | 7% |
| Medicine and Dentistry | 5 | 4% |
| Engineering | 4 | 3% |
| Other | 7 | 5% |
| Unknown | 28 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 22 February 2019.
All research outputs
#2,283,174
of 25,382,440 outputs
Outputs from Genome Biology
#1,882
of 4,468 outputs
Outputs of similar age
#47,548
of 343,384 outputs
Outputs of similar age from Genome Biology
#19
of 35 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 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 gotten more attention than average, scoring higher than 57% 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 343,384 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 86% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.