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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DOSim: An R package for similarity between diseases based on Disease Ontology
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-266 |
| Pubmed ID | |
| Authors |
Jiang Li, Binsheng Gong, Xi Chen, Tao Liu, Chao Wu, Fan Zhang, Chunquan Li, Xiang Li, Shaoqi Rao, Xia Li |
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 % |
|---|---|---|
| Japan | 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 2 | 2% |
| Italy | 1 | 1% |
| Sweden | 1 | 1% |
| China | 1 | 1% |
| Spain | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 87 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 24% |
| Student > Ph. D. Student | 19 | 20% |
| Student > Master | 10 | 11% |
| Professor | 7 | 7% |
| Student > Bachelor | 5 | 5% |
| Other | 16 | 17% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 30% |
| Agricultural and Biological Sciences | 25 | 27% |
| Biochemistry, Genetics and Molecular Biology | 13 | 14% |
| Medicine and Dentistry | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 16 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 08 June 2015.
All research outputs
#3,748,165
of 23,294,050 outputs
Outputs from BMC Bioinformatics
#1,366
of 7,377 outputs
Outputs of similar age
#19,560
of 116,868 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 103 outputs
Altmetric has tracked 23,294,050 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,377 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 81% 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 116,868 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 83% 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 82% of its contemporaries.