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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SeqGene: a comprehensive software solution for mining exome- and transcriptome- sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-267 |
| Pubmed ID | |
| Authors |
Xutao Deng |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| Japan | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 3% |
| United States | 7 | 3% |
| France | 5 | 2% |
| Brazil | 4 | 2% |
| Sweden | 3 | 1% |
| Japan | 2 | <1% |
| Norway | 1 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 187 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 84 | 37% |
| Student > Ph. D. Student | 45 | 20% |
| Student > Master | 25 | 11% |
| Professor > Associate Professor | 14 | 6% |
| Other | 10 | 4% |
| Other | 36 | 16% |
| Unknown | 11 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 132 | 59% |
| Biochemistry, Genetics and Molecular Biology | 28 | 12% |
| Medicine and Dentistry | 25 | 11% |
| Computer Science | 14 | 6% |
| Environmental Science | 3 | 1% |
| Other | 9 | 4% |
| Unknown | 14 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 10 July 2011.
All research outputs
#3,546,566
of 25,116,143 outputs
Outputs from BMC Bioinformatics
#1,180
of 7,653 outputs
Outputs of similar age
#17,030
of 120,864 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 103 outputs
Altmetric has tracked 25,116,143 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,653 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 84% 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 120,864 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 85% of its contemporaries.
We're also able to compare this research output to 103 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.