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Mendeley readers
Attention Score in Context
| Title |
Computational reverse chemical ecology: Virtual screening and predicting behaviorally active semiochemicals for Bactrocera dorsalis
|
|---|---|
| Published in |
BMC Genomics, March 2014
|
| DOI | 10.1186/1471-2164-15-209 |
| Pubmed ID | |
| Authors |
Kamala Jayanthi P D, Vivek Kempraj, Ravindra M Aurade, Tapas Kumar Roy, Shivashankara K S, Abraham Verghese |
| Abstract |
Semiochemical is a generic term used for a chemical substance that influences the behaviour of an organism. It is a common term used in the field of chemical ecology to encompass pheromones, allomones, kairomones, attractants and repellents. Insects have mastered the art of using semiochemicals as communication signals and rely on them to find mates, host or habitat. This dependency of insects on semiochemicals has allowed chemical ecologists to develop environment friendly pest management strategies. However, discovering semiochemicals is a laborious process that involves a plethora of behavioural and analytical techniques, making it expansively time consuming. Recently, reverse chemical ecology approach using odorant binding proteins (OBPs) as target for elucidating behaviourally active compounds is gaining eminence. In this scenario, we describe a "computational reverse chemical ecology" approach for rapid screening of potential semiochemicals. |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 1% |
| Chile | 1 | 1% |
| Brazil | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 64 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 29% |
| Researcher | 13 | 19% |
| Student > Master | 7 | 10% |
| Student > Bachelor | 6 | 9% |
| Student > Postgraduate | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 52% |
| Chemistry | 9 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Medicine and Dentistry | 3 | 4% |
| Environmental Science | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 9 | 13% |
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 19 March 2014.
All research outputs
#20,224,618
of 22,749,166 outputs
Outputs from BMC Genomics
#9,262
of 10,636 outputs
Outputs of similar age
#191,515
of 223,385 outputs
Outputs of similar age from BMC Genomics
#124
of 144 outputs
Altmetric has tracked 22,749,166 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 10,636 research outputs from this source. They receive a mean Attention Score of 4.7. 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 223,385 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 144 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.