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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Stereoselective virtual screening of the ZINC database using atom pair 3D-fingerprints
|
|---|---|
| Published in |
Journal of Cheminformatics, February 2015
|
| DOI | 10.1186/s13321-014-0051-5 |
| Pubmed ID | |
| Authors |
Mahendra Awale, Xian Jin, Jean-Louis Reymond |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Algeria | 1 | 1% |
| United States | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 66 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 16% |
| Student > Master | 10 | 14% |
| Researcher | 7 | 10% |
| Professor > Associate Professor | 7 | 10% |
| Student > Bachelor | 5 | 7% |
| Other | 16 | 23% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 22 | 31% |
| Agricultural and Biological Sciences | 9 | 13% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Computer Science | 6 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 7% |
| Other | 4 | 6% |
| Unknown | 17 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 February 2015.
All research outputs
#18,397,742
of 22,788,370 outputs
Outputs from Journal of Cheminformatics
#797
of 831 outputs
Outputs of similar age
#260,584
of 357,412 outputs
Outputs of similar age from Journal of Cheminformatics
#18
of 21 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 831 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 1st percentile – i.e., 1% 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 357,412 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.