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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation
|
|---|---|
| Published in |
Genome Biology, June 2011
|
| DOI | 10.1186/gb-2011-12-6-r57 |
| Pubmed ID | |
| Authors |
Anthony ML Liekens, Jeroen De Knijf, Walter Daelemans, Bart Goethals, Peter De Rijk, Jurgen Del-Favero |
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 % |
|---|---|---|
| Belgium | 3 | 75% |
| France | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 6 | 3% |
| United States | 5 | 3% |
| United Kingdom | 4 | 2% |
| Netherlands | 2 | 1% |
| Spain | 2 | 1% |
| Sweden | 1 | <1% |
| Hong Kong | 1 | <1% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Other | 7 | 4% |
| Unknown | 154 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 60 | 33% |
| Student > Ph. D. Student | 37 | 20% |
| Student > Master | 22 | 12% |
| Student > Doctoral Student | 10 | 5% |
| Professor | 10 | 5% |
| Other | 31 | 17% |
| Unknown | 14 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 76 | 41% |
| Computer Science | 34 | 18% |
| Biochemistry, Genetics and Molecular Biology | 27 | 15% |
| Medicine and Dentistry | 6 | 3% |
| Neuroscience | 5 | 3% |
| Other | 15 | 8% |
| Unknown | 21 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 31 December 2018.
All research outputs
#1,749,717
of 25,374,647 outputs
Outputs from Genome Biology
#1,443
of 4,467 outputs
Outputs of similar age
#7,718
of 126,809 outputs
Outputs of similar age from Genome Biology
#5
of 38 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 67% 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 126,809 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.