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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity
|
|---|---|
| Published in |
Journal of Cheminformatics, May 2019
|
| DOI | 10.1186/s13321-019-0356-5 |
| Pubmed ID | |
| Authors |
Chad H. G. Allen, Lewis H. Mervin, Samar Y. Mahmoud, Andreas Bender |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| France | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Practitioners (doctors, other healthcare professionals) | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Researcher | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 13% |
| Neuroscience | 2 | 13% |
| Chemistry | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Environmental Science | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 7 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 04 June 2019.
All research outputs
#7,173,881
of 24,903,209 outputs
Outputs from Journal of Cheminformatics
#570
of 934 outputs
Outputs of similar age
#122,443
of 355,912 outputs
Outputs of similar age from Journal of Cheminformatics
#15
of 18 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 38th percentile – i.e., 38% 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 355,912 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 64% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.