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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pocket Crafter: a 3D generative modeling based workflow for the rapid generation of hit molecules in drug discovery
|
|---|---|
| Published in |
Journal of Cheminformatics, March 2024
|
| DOI | 10.1186/s13321-024-00829-w |
| Pubmed ID | |
| Authors |
Lingling Shen, Jian Fang, Lulu Liu, Fei Yang, Jeremy L. Jenkins, Peter S. Kutchukian, He Wang |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| China | 1 | 8% |
| Australia | 1 | 8% |
| Unknown | 8 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 50% |
| Scientists | 5 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 50% |
| Researcher | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 50% |
| Biochemistry, Genetics and Molecular Biology | 1 | 25% |
| Unknown | 1 | 25% |
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 30 March 2024.
All research outputs
#6,561,847
of 25,815,269 outputs
Outputs from Journal of Cheminformatics
#494
of 982 outputs
Outputs of similar age
#70,702
of 294,843 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 24 outputs
Altmetric has tracked 25,815,269 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 982 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one is in the 49th percentile – i.e., 49% 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 294,843 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 75% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.