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X Demographics
Mendeley readers
Attention Score in Context
| Title |
STOUT: SMILES to IUPAC names using neural machine translation
|
|---|---|
| Published in |
Journal of Cheminformatics, April 2021
|
| DOI | 10.1186/s13321-021-00512-4 |
| Pubmed ID | |
| Authors |
Kohulan Rajan, Achim Zielesny, Christoph Steinbeck |
X Demographics
The data shown below were collected from the profiles of 25 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 | 3 | 12% |
| Switzerland | 2 | 8% |
| Luxembourg | 1 | 4% |
| Chile | 1 | 4% |
| Germany | 1 | 4% |
| Australia | 1 | 4% |
| New Zealand | 1 | 4% |
| France | 1 | 4% |
| Unknown | 14 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 64% |
| Members of the public | 7 | 28% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 18% |
| Researcher | 6 | 11% |
| Student > Master | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 22 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 11 | 19% |
| Agricultural and Biological Sciences | 3 | 5% |
| Computer Science | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Social Sciences | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 24 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 08 April 2024.
All research outputs
#1,362,677
of 25,658,541 outputs
Outputs from Journal of Cheminformatics
#70
of 980 outputs
Outputs of similar age
#36,013
of 455,829 outputs
Outputs of similar age from Journal of Cheminformatics
#3
of 22 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 980 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done particularly well, scoring higher than 92% 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 455,829 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.