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X Demographics
Mendeley readers
Attention Score in Context
Title |
CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration
|
---|---|
Published in |
Journal of Cheminformatics, September 2020
|
DOI | 10.1186/s13321-020-00452-5 |
Pubmed ID | |
Authors |
Ryosuke Shibukawa, Shoichi Ishida, Kazuki Yoshizoe, Kunihiro Wasa, Kiyosei Takasu, Yasushi Okuno, Kei Terayama, Koji Tsuda |
X Demographics
The data shown below were collected from the profiles of 22 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 | 6 | 27% |
United States | 2 | 9% |
Sweden | 1 | 5% |
Israel | 1 | 5% |
Unknown | 12 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 64% |
Scientists | 7 | 32% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 19% |
Student > Ph. D. Student | 7 | 17% |
Student > Bachelor | 6 | 14% |
Student > Master | 5 | 12% |
Professor | 2 | 5% |
Other | 3 | 7% |
Unknown | 11 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 13 | 31% |
Computer Science | 5 | 12% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
Chemical Engineering | 2 | 5% |
Engineering | 2 | 5% |
Other | 4 | 10% |
Unknown | 13 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 March 2023.
All research outputs
#1,806,479
of 25,523,622 outputs
Outputs from Journal of Cheminformatics
#133
of 971 outputs
Outputs of similar age
#48,707
of 425,847 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 17 outputs
Altmetric has tracked 25,523,622 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 971 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 86% 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 425,847 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.