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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MolFinder: an evolutionary algorithm for the global optimization of molecular properties and the extensive exploration of chemical space using SMILES
|
|---|---|
| Published in |
Journal of Cheminformatics, March 2021
|
| DOI | 10.1186/s13321-021-00501-7 |
| Pubmed ID | |
| Authors |
Yongbeom Kwon, Juyong Lee |
X Demographics
The data shown below were collected from the profiles of 11 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 | 1 | 9% |
| Denmark | 1 | 9% |
| Sweden | 1 | 9% |
| Unknown | 8 | 73% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 18% |
| Student > Ph. D. Student | 12 | 18% |
| Student > Bachelor | 8 | 12% |
| Student > Master | 5 | 7% |
| Other | 4 | 6% |
| Other | 5 | 7% |
| Unknown | 22 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 20 | 29% |
| Computer Science | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Agricultural and Biological Sciences | 3 | 4% |
| Chemical Engineering | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 24 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 24 March 2021.
All research outputs
#5,970,048
of 24,224,854 outputs
Outputs from Journal of Cheminformatics
#468
of 891 outputs
Outputs of similar age
#134,079
of 455,879 outputs
Outputs of similar age from Journal of Cheminformatics
#18
of 32 outputs
Altmetric has tracked 24,224,854 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 10.5. This one is in the 47th percentile – i.e., 47% 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 455,879 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 70% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.