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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving the quality of chemical language model outcomes with atom-in-SMILES tokenization
|
|---|---|
| Published in |
Journal of Cheminformatics, May 2023
|
| DOI | 10.1186/s13321-023-00725-9 |
| Pubmed ID | |
| Authors |
Umit V. Ucak, Islambek Ashyrmamatov, Juyong Lee |
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 % |
|---|---|---|
| Japan | 2 | 17% |
| Israel | 1 | 8% |
| Unknown | 9 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 15% |
| Other | 3 | 9% |
| Student > Master | 3 | 9% |
| Researcher | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 17 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 15% |
| Chemistry | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Physics and Astronomy | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 17 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 20 June 2023.
All research outputs
#6,210,090
of 24,664,952 outputs
Outputs from Journal of Cheminformatics
#477
of 917 outputs
Outputs of similar age
#98,427
of 369,291 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 18 outputs
Altmetric has tracked 24,664,952 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 47th percentile – i.e., 47% 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 369,291 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 73% 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 72% of its contemporaries.