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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systemic evolutionary chemical space exploration for drug discovery
|
|---|---|
| Published in |
Journal of Cheminformatics, April 2022
|
| DOI | 10.1186/s13321-022-00598-4 |
| Pubmed ID | |
| Authors |
Chong Lu, Shien Liu, Weihua Shi, Jun Yu, Zhou Zhou, Xiaoxiao Zhang, Xiaoli Lu, Faji Cai, Ning Xia, Yikai Wang |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 19% |
| United States | 1 | 5% |
| China | 1 | 5% |
| Sweden | 1 | 5% |
| Denmark | 1 | 5% |
| Unknown | 13 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 62% |
| Scientists | 7 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 19% |
| Researcher | 5 | 12% |
| Professor | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 1 | 2% |
| Unknown | 22 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 12% |
| Chemistry | 4 | 9% |
| Agricultural and Biological Sciences | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Engineering | 3 | 7% |
| Other | 4 | 9% |
| Unknown | 21 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 19 October 2022.
All research outputs
#2,925,480
of 24,643,522 outputs
Outputs from Journal of Cheminformatics
#268
of 917 outputs
Outputs of similar age
#65,015
of 434,683 outputs
Outputs of similar age from Journal of Cheminformatics
#9
of 21 outputs
Altmetric has tracked 24,643,522 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 70% 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 434,683 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 85% of its contemporaries.
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 has gotten more attention than average, scoring higher than 61% of its contemporaries.