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X Demographics
Mendeley readers
Attention Score in Context
| Title |
UnCorrupt SMILES: a novel approach to de novo design
|
|---|---|
| Published in |
Journal of Cheminformatics, February 2023
|
| DOI | 10.1186/s13321-023-00696-x |
| Pubmed ID | |
| Authors |
Linde Schoenmaker, Olivier J. M. Béquignon, Willem Jespers, Gerard J. P. van Westen |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 15% |
| France | 2 | 15% |
| Japan | 1 | 8% |
| Australia | 1 | 8% |
| Spain | 1 | 8% |
| Sweden | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 4 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Researcher | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Professor | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 12 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 12% |
| Physics and Astronomy | 2 | 8% |
| Chemistry | 2 | 8% |
| Computer Science | 2 | 8% |
| Environmental Science | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 11 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 22 February 2023.
All research outputs
#5,202,005
of 25,376,589 outputs
Outputs from Journal of Cheminformatics
#446
of 958 outputs
Outputs of similar age
#110,156
of 491,137 outputs
Outputs of similar age from Journal of Cheminformatics
#16
of 40 outputs
Altmetric has tracked 25,376,589 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 53% 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 491,137 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 40 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 62% of its contemporaries.