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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting cytotoxicity from heterogeneous data sources with Bayesian learning
|
|---|---|
| Published in |
Journal of Cheminformatics, December 2010
|
| DOI | 10.1186/1758-2946-2-11 |
| Pubmed ID | |
| Authors |
Sarah R Langdon, Joanna Mulgrew, Gaia V Paolini, Willem P van Hoorn |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Austria | 1 | 2% |
| India | 1 | 2% |
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 53 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 25% |
| Researcher | 15 | 25% |
| Other | 7 | 12% |
| Student > Bachelor | 5 | 8% |
| Student > Master | 5 | 8% |
| Other | 9 | 15% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 20 | 33% |
| Agricultural and Biological Sciences | 11 | 18% |
| Computer Science | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 7 | 12% |
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 27 August 2015.
All research outputs
#3,606,877
of 22,817,213 outputs
Outputs from Journal of Cheminformatics
#352
of 833 outputs
Outputs of similar age
#23,642
of 180,740 outputs
Outputs of similar age from Journal of Cheminformatics
#3
of 5 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 833 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 57% 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 180,740 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 86% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.