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Mendeley readers
Attention Score in Context
| Title |
BioPhytMol: a drug discovery community resource on anti-mycobacterial phytomolecules and plant extracts
|
|---|---|
| Published in |
Journal of Cheminformatics, October 2014
|
| DOI | 10.1186/s13321-014-0046-2 |
| Pubmed ID | |
| Authors |
Arun Sharma, Prasun Dutta, Maneesh Sharma, Neeraj Kumar Rajput, Bhavna Dodiya, John J Georrge, Trupti Kholia, Anshu Bhardwaj |
| Abstract |
Tuberculosis (TB) is the second leading cause of death from a single infectious organism, demanding attention towards discovery of novel anti-tubercular compounds. Natural products or their derivatives have provided more than 50% of all existing drugs, offering a chemically diverse space for discovery of novel drugs. |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 3% |
| Germany | 2 | 3% |
| Saudi Arabia | 1 | 1% |
| Unknown | 70 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 25% |
| Researcher | 7 | 9% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Professor > Associate Professor | 5 | 7% |
| Other | 16 | 21% |
| Unknown | 15 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 17% |
| Agricultural and Biological Sciences | 11 | 15% |
| Chemistry | 8 | 11% |
| Computer Science | 5 | 7% |
| Medicine and Dentistry | 5 | 7% |
| Other | 15 | 20% |
| Unknown | 18 | 24% |
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 02 December 2014.
All research outputs
#18,381,794
of 22,768,097 outputs
Outputs from Journal of Cheminformatics
#794
of 828 outputs
Outputs of similar age
#182,953
of 256,090 outputs
Outputs of similar age from Journal of Cheminformatics
#7
of 7 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 256,090 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.