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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ChemInformatics Model Explorer (CIME): exploratory analysis of chemical model explanations
|
|---|---|
| Published in |
Journal of Cheminformatics, April 2022
|
| DOI | 10.1186/s13321-022-00600-z |
| Pubmed ID | |
| Authors |
Christina Humer, Henry Heberle, Floriane Montanari, Thomas Wolf, Florian Huber, Ryan Henderson, Julian Heinrich, Marc Streit |
X Demographics
The data shown below were collected from the profiles of 11 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 | 27% |
| Brazil | 1 | 9% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 2 | 18% |
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 | 8 | 16% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Master | 5 | 10% |
| Other | 4 | 8% |
| Student > Postgraduate | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 23 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 8 | 16% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Computer Science | 3 | 6% |
| Agricultural and Biological Sciences | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 11 | 22% |
| Unknown | 23 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 December 2023.
All research outputs
#2,492,434
of 25,068,002 outputs
Outputs from Journal of Cheminformatics
#217
of 943 outputs
Outputs of similar age
#55,920
of 436,668 outputs
Outputs of similar age from Journal of Cheminformatics
#7
of 19 outputs
Altmetric has tracked 25,068,002 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 77% 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 436,668 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 87% of its contemporaries.
We're also able to compare this research output to 19 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 68% of its contemporaries.