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X Demographics
Mendeley readers
Attention Score in Context
Title |
Sanjeevini: a freely accessible web-server for target directed lead molecule discovery
|
---|---|
Published in |
BMC Bioinformatics, December 2012
|
DOI | 10.1186/1471-2105-13-s17-s7 |
Pubmed ID | |
Authors |
B Jayaram, Tanya Singh, Goutam Mukherjee, Abhinav Mathur, Shashank Shekhar, Vandana Shekhar |
Abstract |
Computational methods utilizing the structural and functional information help to understand specific molecular recognition events between the target biomolecule and candidate hits and make it possible to design improved lead molecules for the target. |
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 % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 1 | <1% |
Unknown | 187 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 17% |
Student > Bachelor | 26 | 14% |
Researcher | 20 | 11% |
Student > Master | 20 | 11% |
Professor | 9 | 5% |
Other | 33 | 18% |
Unknown | 48 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 36 | 19% |
Chemistry | 32 | 17% |
Agricultural and Biological Sciences | 22 | 12% |
Pharmacology, Toxicology and Pharmaceutical Science | 8 | 4% |
Unspecified | 5 | 3% |
Other | 23 | 12% |
Unknown | 62 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 August 2017.
All research outputs
#6,405,958
of 22,757,541 outputs
Outputs from BMC Bioinformatics
#2,469
of 7,272 outputs
Outputs of similar age
#67,665
of 279,068 outputs
Outputs of similar age from BMC Bioinformatics
#48
of 138 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,272 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 279,068 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.