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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SAR and QSAR modeling of a large collection of LD50 rat acute oral toxicity data
|
|---|---|
| Published in |
Journal of Cheminformatics, August 2019
|
| DOI | 10.1186/s13321-019-0383-2 |
| Pubmed ID | |
| Authors |
Domenico Gadaleta, Kristijan Vuković, Cosimo Toma, Giovanna J. Lavado, Agnes L. Karmaus, Kamel Mansouri, Nicole C. Kleinstreuer, Emilio Benfenati, Alessandra Roncaglioni |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 134 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 18 | 13% |
| Researcher | 16 | 12% |
| Student > Ph. D. Student | 14 | 10% |
| Student > Master | 8 | 6% |
| Other | 4 | 3% |
| Other | 17 | 13% |
| Unknown | 57 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 21 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 11 | 8% |
| Biochemistry, Genetics and Molecular Biology | 10 | 7% |
| Agricultural and Biological Sciences | 8 | 6% |
| Environmental Science | 3 | 2% |
| Other | 15 | 11% |
| Unknown | 66 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 11 June 2021.
All research outputs
#3,805,903
of 23,155,957 outputs
Outputs from Journal of Cheminformatics
#383
of 853 outputs
Outputs of similar age
#74,794
of 339,624 outputs
Outputs of similar age from Journal of Cheminformatics
#6
of 13 outputs
Altmetric has tracked 23,155,957 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 853 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 55% 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 339,624 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 77% of its contemporaries.
We're also able to compare this research output to 13 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.