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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DrugMint: a webserver for predicting and designing of drug-like molecules
|
|---|---|
| Published in |
Biology Direct, November 2013
|
| DOI | 10.1186/1745-6150-8-28 |
| Pubmed ID | |
| Authors |
Sandeep Kumar Dhanda, Deepak Singla, Alok K Mondal, Gajendra PS Raghava |
| Abstract |
Identification of drug-like molecules is one of the major challenges in the field of drug discovery. Existing approach like Lipinski rule of 5 (Ro5), Operea have their own limitations. Thus, there is a need to develop computational method that can predict drug-likeness of a molecule with precision. In addition, there is a need to develop algorithm for screening chemical library for their drug-like properties. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Japan | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 2 | 3% |
| Colombia | 1 | 1% |
| Germany | 1 | 1% |
| India | 1 | 1% |
| Indonesia | 1 | 1% |
| Spain | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 71 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 24% |
| Researcher | 11 | 14% |
| Student > Bachelor | 9 | 11% |
| Professor | 5 | 6% |
| Student > Postgraduate | 4 | 5% |
| Other | 17 | 22% |
| Unknown | 14 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 17 | 22% |
| Agricultural and Biological Sciences | 13 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 11% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Medicine and Dentistry | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 17 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 05 July 2016.
All research outputs
#2,121,075
of 22,729,647 outputs
Outputs from Biology Direct
#93
of 487 outputs
Outputs of similar age
#21,090
of 215,386 outputs
Outputs of similar age from Biology Direct
#2
of 8 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 80% 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 215,386 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.