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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How can SHAP values help to shape metabolic stability of chemical compounds?
|
|---|---|
| Published in |
Journal of Cheminformatics, September 2021
|
| DOI | 10.1186/s13321-021-00542-y |
| Pubmed ID | |
| Authors |
Agnieszka Wojtuch, Rafał Jankowski, Sabina Podlewska |
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 | 2 | 18% |
| Germany | 1 | 9% |
| Venezuela, Bolivarian Republic of | 1 | 9% |
| Sweden | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 45% |
| Members of the public | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 19% |
| Researcher | 6 | 14% |
| Student > Master | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Professor | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 15 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 9 | 21% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
| Computer Science | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 17 | 40% |
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 05 October 2021.
All research outputs
#6,659,161
of 24,588,574 outputs
Outputs from Journal of Cheminformatics
#516
of 913 outputs
Outputs of similar age
#125,546
of 425,187 outputs
Outputs of similar age from Journal of Cheminformatics
#13
of 26 outputs
Altmetric has tracked 24,588,574 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 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 43rd percentile – i.e., 43% 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 425,187 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 70% of its contemporaries.
We're also able to compare this research output to 26 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 53% of its contemporaries.