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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 58 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 | 13 | 22% |
Japan | 5 | 9% |
United Kingdom | 1 | 2% |
Singapore | 1 | 2% |
Spain | 1 | 2% |
Norway | 1 | 2% |
Korea, Democratic People's Republic of | 1 | 2% |
Mexico | 1 | 2% |
Hong Kong | 1 | 2% |
Other | 5 | 9% |
Unknown | 28 | 48% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 38 | 66% |
Scientists | 18 | 31% |
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 29% |
Student > Ph. D. Student | 4 | 11% |
Unspecified | 3 | 9% |
Other | 2 | 6% |
Student > Doctoral Student | 1 | 3% |
Other | 2 | 6% |
Unknown | 13 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 8 | 23% |
Unspecified | 3 | 9% |
Chemical Engineering | 3 | 9% |
Computer Science | 3 | 9% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Other | 4 | 11% |
Unknown | 12 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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
#1,077,532
of 25,856,138 outputs
Outputs from Nature Machine Intelligence
#286
of 781 outputs
Outputs of similar age
#13,609
of 290,051 outputs
Outputs of similar age from Nature Machine Intelligence
#12
of 37 outputs
Altmetric has tracked 25,856,138 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 781 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.0. This one has gotten more attention than average, scoring higher than 63% 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 290,051 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 37 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 67% of its contemporaries.