You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Decomposing compounds enables reconstruction of interaction fingerprints for structure-based drug screening
|
|---|---|
| Published in |
Journal of Cheminformatics, March 2022
|
| DOI | 10.1186/s13321-022-00592-w |
| Pubmed ID | |
| Authors |
Melissa F. Adasme, Sarah Naomi Bolz, Ali Al-Fatlawi, Michael Schroeder |
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 % |
|---|---|---|
| Spain | 1 | 8% |
| Norway | 1 | 8% |
| Chile | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 8 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 50% |
| Members of the public | 5 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Researcher | 3 | 16% |
| Professor > Associate Professor | 1 | 5% |
| Unspecified | 1 | 5% |
| Unknown | 11 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 4 | 21% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Unspecified | 1 | 5% |
| Materials Science | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 58% |
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 26 March 2022.
All research outputs
#4,785,732
of 24,144,324 outputs
Outputs from Journal of Cheminformatics
#425
of 889 outputs
Outputs of similar age
#105,491
of 432,000 outputs
Outputs of similar age from Journal of Cheminformatics
#15
of 21 outputs
Altmetric has tracked 24,144,324 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 889 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 52% 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 432,000 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 21 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.