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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TeachOpenCADD: a teaching platform for computer-aided drug design using open source packages and data
|
|---|---|
| Published in |
Journal of Cheminformatics, April 2019
|
| DOI | 10.1186/s13321-019-0351-x |
| Pubmed ID | |
| Authors |
Dominique Sydow, Andrea Morger, Maximilian Driller, Andrea Volkamer |
X Demographics
The data shown below were collected from the profiles of 49 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 | 7 | 14% |
| Germany | 5 | 10% |
| United Kingdom | 4 | 8% |
| India | 3 | 6% |
| Denmark | 2 | 4% |
| Brazil | 2 | 4% |
| Norway | 1 | 2% |
| Saint Kitts and Nevis | 1 | 2% |
| China | 1 | 2% |
| Other | 7 | 14% |
| Unknown | 16 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 28 | 57% |
| Members of the public | 19 | 39% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 165 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 21% |
| Researcher | 28 | 17% |
| Student > Master | 22 | 13% |
| Student > Bachelor | 21 | 13% |
| Student > Doctoral Student | 5 | 3% |
| Other | 16 | 10% |
| Unknown | 39 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 43 | 26% |
| Pharmacology, Toxicology and Pharmaceutical Science | 23 | 14% |
| Biochemistry, Genetics and Molecular Biology | 21 | 13% |
| Agricultural and Biological Sciences | 8 | 5% |
| Medicine and Dentistry | 5 | 3% |
| Other | 16 | 10% |
| Unknown | 49 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 11 October 2022.
All research outputs
#1,138,066
of 25,837,817 outputs
Outputs from Journal of Cheminformatics
#42
of 984 outputs
Outputs of similar age
#25,904
of 369,215 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 16 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 95% 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 369,215 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 92% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.