You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules
|
---|---|
Published in |
Journal of Cheminformatics, October 2022
|
DOI | 10.1186/s13321-022-00652-1 |
Pubmed ID | |
Authors |
Jong Youl Choi, Pei Zhang, Kshitij Mehta, Andrew Blanchard, Massimiliano Lupo Pasini |
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 % |
---|---|---|
Kenya | 1 | 14% |
Sweden | 1 | 14% |
Mexico | 1 | 14% |
Japan | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Scientists | 2 | 29% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 13% |
Student > Master | 2 | 13% |
Other | 1 | 7% |
Unknown | 10 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 2 | 13% |
Computer Science | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Unknown | 11 | 73% |
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 27 January 2023.
All research outputs
#8,022,358
of 25,826,146 outputs
Outputs from Journal of Cheminformatics
#608
of 982 outputs
Outputs of similar age
#142,725
of 443,885 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 21 outputs
Altmetric has tracked 25,826,146 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 982 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 37th percentile – i.e., 37% 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 443,885 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 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.