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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ambit-SMIRKS: a software module for reaction representation, reaction search and structure transformation
|
|---|---|
| Published in |
Journal of Cheminformatics, August 2018
|
| DOI | 10.1186/s13321-018-0295-6 |
| Pubmed ID | |
| Authors |
Nikolay Kochev, Svetlana Avramova, Nina Jeliazkova |
X Demographics
The data shown below were collected from the profiles of 13 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 | 15% |
| Japan | 1 | 8% |
| United Kingdom | 1 | 8% |
| Italy | 1 | 8% |
| Spain | 1 | 8% |
| Sweden | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 27% |
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Other | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 11 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 8 | 16% |
| Computer Science | 7 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Chemical Engineering | 3 | 6% |
| Other | 10 | 20% |
| Unknown | 13 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 24 February 2022.
All research outputs
#2,706,287
of 25,761,363 outputs
Outputs from Journal of Cheminformatics
#236
of 981 outputs
Outputs of similar age
#52,793
of 343,002 outputs
Outputs of similar age from Journal of Cheminformatics
#6
of 18 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 981 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 75% 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 343,002 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 84% 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 has gotten more attention than average, scoring higher than 66% of its contemporaries.