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X Demographics
Mendeley readers
Attention Score in Context
| Title |
KnowTox: pipeline and case study for confident prediction of potential toxic effects of compounds in early phases of development
|
|---|---|
| Published in |
Journal of Cheminformatics, April 2020
|
| DOI | 10.1186/s13321-020-00422-x |
| Pubmed ID | |
| Authors |
Andrea Morger, Miriam Mathea, Janosch H. Achenbach, Antje Wolf, Roland Buesen, Klaus-Juergen Schleifer, Robert Landsiedel, Andrea Volkamer |
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 % |
|---|---|---|
| Korea, Republic of | 1 | 13% |
| India | 1 | 13% |
| Germany | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 24% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Doctoral Student | 2 | 6% |
| Professor | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 7 | 21% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 12% |
| Computer Science | 3 | 9% |
| Mathematics | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 12 | 36% |
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 27 April 2020.
All research outputs
#7,523,363
of 24,903,209 outputs
Outputs from Journal of Cheminformatics
#580
of 934 outputs
Outputs of similar age
#137,237
of 378,274 outputs
Outputs of similar age from Journal of Cheminformatics
#17
of 24 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 37th percentile – i.e., 37% 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 378,274 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 63% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.