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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Global and unbiased detection of splice junctions from RNA-seq data
|
|---|---|
| Published in |
Genome Biology, March 2010
|
| DOI | 10.1186/gb-2010-11-3-r34 |
| Pubmed ID | |
| Authors |
Adam Ameur, Anna Wetterbom, Lars Feuk, Ulf Gyllensten |
| Abstract |
We have developed a new strategy for de novo prediction of splice junctions in short-read RNA-seq data, suitable for detection of novel splicing events and chimeric transcripts. When tested on mouse RNA-seq data, >31,000 splice events were predicted, of which 88% bridged between two regions separated by <or=100 kb, and 74% connected two exons of the same RefSeq gene. Our method also reports genomic rearrangements such as insertions and deletions. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 5% |
| United Kingdom | 4 | 2% |
| Brazil | 4 | 2% |
| Australia | 3 | 1% |
| Sweden | 2 | <1% |
| France | 2 | <1% |
| Netherlands | 2 | <1% |
| Norway | 1 | <1% |
| Germany | 1 | <1% |
| Other | 8 | 4% |
| Unknown | 184 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 82 | 37% |
| Student > Ph. D. Student | 59 | 27% |
| Student > Master | 14 | 6% |
| Professor > Associate Professor | 13 | 6% |
| Professor | 10 | 5% |
| Other | 30 | 14% |
| Unknown | 14 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 148 | 67% |
| Biochemistry, Genetics and Molecular Biology | 20 | 9% |
| Computer Science | 18 | 8% |
| Medicine and Dentistry | 10 | 5% |
| Engineering | 3 | 1% |
| Other | 6 | 3% |
| Unknown | 17 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 20 March 2014.
All research outputs
#7,219,424
of 25,837,817 outputs
Outputs from Genome Biology
#3,261
of 4,506 outputs
Outputs of similar age
#35,557
of 112,691 outputs
Outputs of similar age from Genome Biology
#19
of 25 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 112,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.