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Using insect sniffing devices for detection

Overview of attention for article published in Trends in Biotechnology, January 2008
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Title
Using insect sniffing devices for detection
Published in
Trends in Biotechnology, January 2008
DOI 10.1016/j.tibtech.2008.02.007
Pubmed ID
Authors

Rains GC, Tomberlin JK, Kulasiri D

Abstract

Emerging information about the ability of insects to detect and associatively learn has revealed that they could be used within chemical detection systems. Such systems have been developed around free-moving insects, such as honey bees. Alternatively, behavioral changes of contained insects can be interpreted by sampling air pumped over their olfactory organs. These organisms are highly sensitive, flexible, portable and cheap to reproduce, and it is easy to condition them to detect target odorants. However, insect-sensing systems are not widely studied or accepted as proven biological sensors. Further studies are needed to examine additional insect species and to develop better methods of using their olfactory system for detecting odorants of interest.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Italy 2 3%
United Kingdom 2 3%
Malaysia 1 1%
Unknown 60 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 28%
Student > Bachelor 11 16%
Researcher 11 16%
Student > Master 7 10%
Student > Postgraduate 5 7%
Other 14 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 46%
Engineering 10 15%
Computer Science 4 6%
Neuroscience 4 6%
Unspecified 4 6%
Other 14 21%

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 31 January 2014.
All research outputs
#2,015,493
of 3,630,679 outputs
Outputs from Trends in Biotechnology
#354
of 499 outputs
Outputs of similar age
#55,503
of 110,674 outputs
Outputs of similar age from Trends in Biotechnology
#12
of 20 outputs
Altmetric has tracked 3,630,679 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 499 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 19th percentile – i.e., 19% 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 110,674 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.