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Mendeley readers
Attention Score in Context
| Title |
NSMAP: A method for spliced isoforms identification and quantification from RNA-Seq
|
|---|---|
| Published in |
BMC Bioinformatics, May 2011
|
| DOI | 10.1186/1471-2105-12-162 |
| Pubmed ID | |
| Authors |
Zheng Xia, Jianguo Wen, Chung-Che Chang, Xiaobo Zhou |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 6% |
| Germany | 3 | 2% |
| France | 2 | 2% |
| Spain | 2 | 2% |
| United Kingdom | 2 | 2% |
| Sweden | 2 | 2% |
| Italy | 1 | <1% |
| Malaysia | 1 | <1% |
| China | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 104 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 31% |
| Researcher | 39 | 30% |
| Student > Master | 14 | 11% |
| Professor > Associate Professor | 13 | 10% |
| Professor | 10 | 8% |
| Other | 11 | 9% |
| Unknown | 2 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 64% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Computer Science | 14 | 11% |
| Medicine and Dentistry | 5 | 4% |
| Engineering | 3 | 2% |
| Other | 7 | 5% |
| Unknown | 4 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 07 June 2012.
All research outputs
#3,952,947
of 22,659,164 outputs
Outputs from BMC Bioinformatics
#1,527
of 7,240 outputs
Outputs of similar age
#20,440
of 110,548 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 85 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,240 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 78% 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 110,548 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 81% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.