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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biomine: predicting links between biological entities using network models of heterogeneous databases
|
|---|---|
| Published in |
BMC Bioinformatics, June 2012
|
| DOI | 10.1186/1471-2105-13-119 |
| Pubmed ID | |
| Authors |
Lauri Eronen, Hannu Toivonen |
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 % |
|---|---|---|
| Brazil | 1 | 25% |
| United States | 1 | 25% |
| Ecuador | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Netherlands | 2 | 2% |
| United Kingdom | 2 | 2% |
| Germany | 1 | 1% |
| Portugal | 1 | 1% |
| Brazil | 1 | 1% |
| Mexico | 1 | 1% |
| Australia | 1 | 1% |
| Spain | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 80 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 24% |
| Student > Ph. D. Student | 22 | 23% |
| Student > Master | 12 | 13% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 16 | 17% |
| Unknown | 10 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 39 | 41% |
| Agricultural and Biological Sciences | 25 | 26% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Medicine and Dentistry | 4 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 6 | 6% |
| Unknown | 13 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 February 2013.
All research outputs
#14,412,437
of 25,079,131 outputs
Outputs from BMC Bioinformatics
#3,986
of 7,644 outputs
Outputs of similar age
#96,539
of 172,626 outputs
Outputs of similar age from BMC Bioinformatics
#55
of 102 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,644 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 45th percentile – i.e., 45% 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 172,626 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.