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 |
spyrmsd: symmetry-corrected RMSD calculations in Python
|
|---|---|
| Published in |
Journal of Cheminformatics, August 2020
|
| DOI | 10.1186/s13321-020-00455-2 |
| Pubmed ID | |
| Authors |
Rocco Meli, Philip C. Biggin |
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 % |
|---|---|---|
| United Kingdom | 3 | 14% |
| United States | 3 | 14% |
| India | 2 | 10% |
| Chile | 1 | 5% |
| Australia | 1 | 5% |
| Sweden | 1 | 5% |
| Switzerland | 1 | 5% |
| Brazil | 1 | 5% |
| Germany | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 48% |
| Scientists | 9 | 43% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 19% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 5 | 8% |
| Professor > Associate Professor | 4 | 6% |
| Other | 5 | 8% |
| Unknown | 20 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 22 | 35% |
| Biochemistry, Genetics and Molecular Biology | 8 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 8% |
| Agricultural and Biological Sciences | 2 | 3% |
| Computer Science | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 22 | 35% |
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 02 September 2020.
All research outputs
#2,984,079
of 25,042,800 outputs
Outputs from Journal of Cheminformatics
#274
of 940 outputs
Outputs of similar age
#73,418
of 405,940 outputs
Outputs of similar age from Journal of Cheminformatics
#8
of 17 outputs
Altmetric has tracked 25,042,800 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 940 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 405,940 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 81% of its contemporaries.
We're also able to compare this research output to 17 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 58% of its contemporaries.