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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Semantic inference using chemogenomics data for drug discovery
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-256 |
| Pubmed ID | |
| Authors |
Qian Zhu, Yuyin Sun, Sashikiran Challa, Ying Ding, Michael S Lajiness, David J Wild |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| Spain | 2 | 3% |
| United Kingdom | 1 | 2% |
| Japan | 1 | 2% |
| Cyprus | 1 | 2% |
| Unknown | 52 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 28% |
| Student > Ph. D. Student | 14 | 23% |
| Professor > Associate Professor | 7 | 11% |
| Other | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Other | 12 | 20% |
| Unknown | 2 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 36% |
| Agricultural and Biological Sciences | 16 | 26% |
| Chemistry | 11 | 18% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 5 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 June 2011.
All research outputs
#7,174,980
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#2,657
of 7,454 outputs
Outputs of similar age
#38,949
of 117,159 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 104 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,454 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 gotten more attention than average, scoring higher than 63% 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 117,159 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.