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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reconstruction of lossless molecular representations from fingerprints
|
|---|---|
| Published in |
Journal of Cheminformatics, February 2023
|
| DOI | 10.1186/s13321-023-00693-0 |
| Pubmed ID | |
| Authors |
Umit V. Ucak, Islambek Ashyrmamatov, Juyong Lee |
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 | 1 | 10% |
| United States | 1 | 10% |
| Australia | 1 | 10% |
| France | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Student > Master | 5 | 14% |
| Researcher | 3 | 8% |
| Lecturer | 2 | 5% |
| Professor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 16 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 16% |
| Chemistry | 5 | 14% |
| Chemical Engineering | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 20 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 13 April 2023.
All research outputs
#6,316,042
of 24,593,959 outputs
Outputs from Journal of Cheminformatics
#492
of 913 outputs
Outputs of similar age
#109,080
of 411,361 outputs
Outputs of similar age from Journal of Cheminformatics
#15
of 37 outputs
Altmetric has tracked 24,593,959 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 913 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. 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 411,361 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 73% of its contemporaries.
We're also able to compare this research output to 37 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 59% of its contemporaries.