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Mendeley readers
Attention Score in Context
Title |
Implicating Culicoides Biting Midges as Vectors of Schmallenberg Virus Using Semi-Quantitative RT-PCR
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Published in |
PLOS ONE, March 2013
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DOI | 10.1371/journal.pone.0057747 |
Pubmed ID | |
Authors |
Eva Veronesi, Mark Henstock, Simon Gubbins, Carrie Batten, Robyn Manley, James Barber, Bernd Hoffmann, Martin Beer, Houssam Attoui, Peter Paul Clement Mertens, Simon Carpenter |
Abstract |
The recent unprecedented emergence of arboviruses transmitted by Culicoides biting midges in northern Europe has necessitated the development of techniques to differentiate competent vector species. At present these techniques are entirely reliant upon interpretation of semi-quantitative RT-PCR (sqPCR) data in the form of Cq values used to infer the presence of viral RNA in samples. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ukraine | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 1% |
Unknown | 76 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 25% |
Student > Master | 11 | 14% |
Student > Bachelor | 9 | 12% |
Student > Ph. D. Student | 8 | 10% |
Other | 6 | 8% |
Other | 12 | 16% |
Unknown | 12 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 27 | 35% |
Veterinary Science and Veterinary Medicine | 18 | 23% |
Biochemistry, Genetics and Molecular Biology | 4 | 5% |
Environmental Science | 3 | 4% |
Medicine and Dentistry | 3 | 4% |
Other | 8 | 10% |
Unknown | 14 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 26 April 2013.
All research outputs
#2,150,175
of 24,288,533 outputs
Outputs from PLOS ONE
#26,853
of 209,207 outputs
Outputs of similar age
#17,390
of 198,777 outputs
Outputs of similar age from PLOS ONE
#632
of 5,438 outputs
Altmetric has tracked 24,288,533 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 209,207 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 87% 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 198,777 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 91% of its contemporaries.
We're also able to compare this research output to 5,438 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.