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X Demographics
Mendeley readers
Attention Score in Context
Title |
Harnessing Shannon entropy-based descriptors in machine learning models to enhance the prediction accuracy of molecular properties
|
---|---|
Published in |
Journal of Cheminformatics, May 2023
|
DOI | 10.1186/s13321-023-00712-0 |
Pubmed ID | |
Authors |
Rajarshi Guha, Darrell Velegol |
X Demographics
The data shown below were collected from the profiles of 8 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 | 25% |
Israel | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 26% |
Unspecified | 2 | 11% |
Student > Bachelor | 2 | 11% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Other | 0 | 0% |
Unknown | 8 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 11% |
Chemistry | 2 | 11% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Environmental Science | 1 | 5% |
Other | 2 | 11% |
Unknown | 9 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 March 2024.
All research outputs
#7,398,626
of 25,494,370 outputs
Outputs from Journal of Cheminformatics
#574
of 970 outputs
Outputs of similar age
#123,501
of 389,397 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 22 outputs
Altmetric has tracked 25,494,370 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 970 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 40th percentile – i.e., 40% 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 389,397 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 67% 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 gotten more attention than average, scoring higher than 54% of its contemporaries.