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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DockRMSD: an open-source tool for atom mapping and RMSD calculation of symmetric molecules through graph isomorphism
|
|---|---|
| Published in |
Journal of Cheminformatics, June 2019
|
| DOI | 10.1186/s13321-019-0362-7 |
| Pubmed ID | |
| Authors |
Eric W. Bell, Yang Zhang |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Sweden | 1 | 13% |
| Norway | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 324 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 54 | 17% |
| Student > Master | 36 | 11% |
| Student > Ph. D. Student | 32 | 10% |
| Researcher | 26 | 8% |
| Professor > Associate Professor | 11 | 3% |
| Other | 39 | 12% |
| Unknown | 126 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 61 | 19% |
| Biochemistry, Genetics and Molecular Biology | 42 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 34 | 10% |
| Agricultural and Biological Sciences | 12 | 4% |
| Immunology and Microbiology | 6 | 2% |
| Other | 36 | 11% |
| Unknown | 133 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 June 2019.
All research outputs
#6,718,942
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#553
of 891 outputs
Outputs of similar age
#117,677
of 357,135 outputs
Outputs of similar age from Journal of Cheminformatics
#15
of 18 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
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 10.7. This one is in the 37th percentile – i.e., 37% 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 357,135 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 66% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.