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 |
Exploring QSAR models for activity-cliff prediction
|
---|---|
Published in |
Journal of Cheminformatics, April 2023
|
DOI | 10.1186/s13321-023-00708-w |
Pubmed ID | |
Authors |
Markus Dablander, Thierry Hanser, Renaud Lambiotte, Garrett M. Morris |
X Demographics
The data shown below were collected from the profiles of 25 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 | 12% |
United States | 3 | 12% |
United Kingdom | 2 | 8% |
Israel | 1 | 4% |
Canada | 1 | 4% |
Unknown | 15 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 16 | 64% |
Scientists | 8 | 32% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 18% |
Student > Ph. D. Student | 5 | 10% |
Student > Bachelor | 3 | 6% |
Student > Master | 2 | 4% |
Lecturer | 2 | 4% |
Other | 3 | 6% |
Unknown | 26 | 52% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 10 | 20% |
Computer Science | 7 | 14% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Other | 1 | 2% |
Unknown | 27 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 07 May 2023.
All research outputs
#2,897,905
of 25,782,917 outputs
Outputs from Journal of Cheminformatics
#259
of 982 outputs
Outputs of similar age
#55,688
of 417,577 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 24 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 73% 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 417,577 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 86% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.