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Mendeley readers
Attention Score in Context
| Title |
Discovery of potent, novel, non-toxic anti-malarial compounds via quantum modelling, virtual screening and in vitro experimental validation
|
|---|---|
| Published in |
Malaria Journal, September 2011
|
| DOI | 10.1186/1475-2875-10-274 |
| Pubmed ID | |
| Authors |
David J Sullivan, Nikola Kaludov, Martin N Martinov |
| Abstract |
Developing resistance towards existing anti-malarial therapies emphasize the urgent need for new therapeutic options. Additionally, many malaria drugs in use today have high toxicity and low therapeutic indices. Gradient Biomodeling, LLC has developed a quantum-model search technology that uses quantum similarity and does not depend explicitly on chemical structure, as molecules are rigorously described in fundamental quantum attributes related to individual pharmacological properties. Therapeutic activity, as well as toxicity and other essential properties can be analysed and optimized simultaneously, independently of one another. Such methodology is suitable for a search of novel, non-toxic, active anti-malarial compounds. |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 6% |
| United Kingdom | 2 | 4% |
| South Africa | 1 | 2% |
| Pakistan | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 40 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 19% |
| Student > Master | 8 | 17% |
| Student > Bachelor | 4 | 8% |
| Researcher | 4 | 8% |
| Professor > Associate Professor | 4 | 8% |
| Other | 10 | 21% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 16 | 33% |
| Agricultural and Biological Sciences | 9 | 19% |
| Medicine and Dentistry | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 9 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 September 2011.
All research outputs
#20,147,309
of 22,653,392 outputs
Outputs from Malaria Journal
#5,292
of 5,533 outputs
Outputs of similar age
#119,982
of 130,428 outputs
Outputs of similar age from Malaria Journal
#59
of 63 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,533 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 1st percentile – i.e., 1% 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 130,428 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.