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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrating concept of pharmacophore with graph neural networks for chemical property prediction and interpretation
|
|---|---|
| Published in |
Journal of Cheminformatics, August 2022
|
| DOI | 10.1186/s13321-022-00634-3 |
| Pubmed ID | |
| Authors |
Yue Kong, Xiaoman Zhao, Ruizi Liu, Zhenwu Yang, Hongyan Yin, Bowen Zhao, Jinling Wang, Bingjie Qin, Aixia Yan |
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 % |
|---|---|---|
| France | 2 | 9% |
| Sweden | 2 | 9% |
| United States | 2 | 9% |
| Uganda | 1 | 5% |
| Malaysia | 1 | 5% |
| Japan | 1 | 5% |
| India | 1 | 5% |
| Netherlands | 1 | 5% |
| Israel | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 55% |
| Scientists | 9 | 41% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 16% |
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 3 | 10% |
| Other | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 14 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 10% |
| Chemistry | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 15 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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
#3,730,996
of 25,247,084 outputs
Outputs from Journal of Cheminformatics
#338
of 952 outputs
Outputs of similar age
#75,772
of 425,501 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 21 outputs
Altmetric has tracked 25,247,084 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 952 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 64% 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 425,501 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 82% 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 has done well, scoring higher than 85% of its contemporaries.