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X Demographics
Mendeley readers
Attention Score in Context
Title |
MetaRF: attention-based random forest for reaction yield prediction with a few trails
|
---|---|
Published in |
Journal of Cheminformatics, April 2023
|
DOI | 10.1186/s13321-023-00715-x |
Pubmed ID | |
Authors |
Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Ercheng Wang, Tingjun Hou, Pheng-Ann Heng |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 1 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 3 | 14% |
Student > Ph. D. Student | 2 | 10% |
Student > Bachelor | 2 | 10% |
Other | 1 | 5% |
Researcher | 1 | 5% |
Other | 1 | 5% |
Unknown | 11 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 5 | 24% |
Unspecified | 3 | 14% |
Social Sciences | 1 | 5% |
Chemical Engineering | 1 | 5% |
Unknown | 11 | 52% |
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 19 April 2023.
All research outputs
#8,413,498
of 25,744,802 outputs
Outputs from Journal of Cheminformatics
#631
of 981 outputs
Outputs of similar age
#146,611
of 423,603 outputs
Outputs of similar age from Journal of Cheminformatics
#14
of 26 outputs
Altmetric has tracked 25,744,802 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 981 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 34th percentile – i.e., 34% 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 423,603 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 64% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.