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Mendeley readers
Attention Score in Context
| Title |
Collaborative development of predictive toxicology applications
|
|---|---|
| Published in |
Journal of Cheminformatics, August 2010
|
| DOI | 10.1186/1758-2946-2-7 |
| Pubmed ID | |
| Authors |
Barry Hardy, Nicki Douglas, Christoph Helma, Micha Rautenberg, Nina Jeliazkova, Vedrin Jeliazkov, Ivelina Nikolova, Romualdo Benigni, Olga Tcheremenskaia, Stefan Kramer, Tobias Girschick, Fabian Buchwald, Joerg Wicker, Andreas Karwath, Martin Gütlein, Andreas Maunz, Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, Pantelis Sopasakis, David Gallagher, Vladimir Poroikov, Dmitry Filimonov, Alexey Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry Druzhilovsky, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 3% |
| Germany | 2 | 1% |
| Canada | 2 | 1% |
| Bulgaria | 2 | 1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Cyprus | 1 | <1% |
| Netherlands | 1 | <1% |
| Romania | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 136 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 28% |
| Student > Ph. D. Student | 28 | 18% |
| Other | 15 | 10% |
| Student > Master | 12 | 8% |
| Professor | 9 | 6% |
| Other | 27 | 18% |
| Unknown | 19 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 16% |
| Agricultural and Biological Sciences | 24 | 16% |
| Chemistry | 23 | 15% |
| Medicine and Dentistry | 11 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 7% |
| Other | 33 | 22% |
| Unknown | 27 | 18% |
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 16 March 2015.
All research outputs
#4,172,489
of 25,837,817 outputs
Outputs from Journal of Cheminformatics
#353
of 981 outputs
Outputs of similar age
#17,725
of 106,091 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 2 outputs
Altmetric has tracked 25,837,817 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 981 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 64% 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 106,091 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 82% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.