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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Implicit-descriptor ligand-based virtual screening by means of collaborative filtering
|
|---|---|
| Published in |
Journal of Cheminformatics, November 2018
|
| DOI | 10.1186/s13321-018-0310-y |
| Pubmed ID | |
| Authors |
Raghuram Srinivas, Pavel V. Klimovich, Eric C. Larson |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 5 | 14% |
| Student > Doctoral Student | 4 | 11% |
| Student > Bachelor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 8 | 22% |
| Computer Science | 6 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 8 | 22% |
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 01 December 2018.
All research outputs
#7,488,535
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#599
of 891 outputs
Outputs of similar age
#147,479
of 445,457 outputs
Outputs of similar age from Journal of Cheminformatics
#19
of 22 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 31st percentile – i.e., 31% 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 445,457 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 22 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.