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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Invalid SMILES are beneficial rather than detrimental to chemical language models
|
|---|---|
| Published in |
Nature Machine Intelligence, March 2024
|
| DOI | 10.1038/s42256-024-00821-x |
| Authors |
Michael A. Skinnider |
X Demographics
The data shown below were collected from the profiles of 57 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 | 12 | 21% |
| Japan | 5 | 9% |
| Canada | 2 | 4% |
| Norway | 1 | 2% |
| Singapore | 1 | 2% |
| United Kingdom | 1 | 2% |
| Mexico | 1 | 2% |
| Hong Kong | 1 | 2% |
| Korea, Democratic People's Republic of | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 28 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 65% |
| Scientists | 18 | 32% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 30% |
| Unspecified | 5 | 13% |
| Student > Ph. D. Student | 5 | 13% |
| Other | 2 | 5% |
| Student > Doctoral Student | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 9 | 23% |
| Unspecified | 6 | 15% |
| Computer Science | 4 | 10% |
| Chemical Engineering | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 12 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 30 April 2024.
All research outputs
#1,108,491
of 25,920,652 outputs
Outputs from Nature Machine Intelligence
#295
of 786 outputs
Outputs of similar age
#15,742
of 321,540 outputs
Outputs of similar age from Nature Machine Intelligence
#15
of 41 outputs
Altmetric has tracked 25,920,652 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 786 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.3. This one has gotten more attention than average, scoring higher than 62% 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 321,540 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 95% of its contemporaries.
We're also able to compare this research output to 41 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 63% of its contemporaries.