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X Demographics
Mendeley readers
Attention Score in Context
Title |
On the difficulty of validating molecular generative models realistically: a case study on public and proprietary data
|
---|---|
Published in |
Journal of Cheminformatics, November 2023
|
DOI | 10.1186/s13321-023-00781-1 |
Pubmed ID | |
Authors |
Koichi Handa, Morgan C. Thomas, Michiharu Kageyama, Takeshi Iijima, Andreas Bender |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
United States | 1 | 10% |
Unknown | 7 | 70% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 50% |
Scientists | 4 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 38% |
Student > Ph. D. Student | 4 | 25% |
Unspecified | 1 | 6% |
Unknown | 5 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 19% |
Biochemistry, Genetics and Molecular Biology | 3 | 19% |
Chemistry | 3 | 19% |
Agricultural and Biological Sciences | 1 | 6% |
Unspecified | 1 | 6% |
Other | 0 | 0% |
Unknown | 5 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 November 2023.
All research outputs
#7,052,582
of 25,890,819 outputs
Outputs from Journal of Cheminformatics
#530
of 982 outputs
Outputs of similar age
#100,713
of 372,325 outputs
Outputs of similar age from Journal of Cheminformatics
#10
of 34 outputs
Altmetric has tracked 25,890,819 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd 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 10.0. This one is in the 45th percentile – i.e., 45% 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 372,325 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 72% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.