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X Demographics
Mendeley readers
Attention Score in Context
| Title |
One-step multiplex real time RT-PCR for the detection of bovine respiratory syncytial virus, bovine herpesvirus 1 and bovine parainfluenza virus 3
|
|---|---|
| Published in |
BMC Veterinary Research, March 2012
|
| DOI | 10.1186/1746-6148-8-37 |
| Pubmed ID | |
| Authors |
Leenadevi Thonur, Madeleine Maley, Janice Gilray, Tara Crook, Ellie Laming, Dylan Turnbull, Mintu Nath, Kim Willoughby |
| Abstract |
Detection of respiratory viruses in veterinary species has traditionally relied on virus detection by isolation or immunofluorescence and/or detection of circulating antibody using ELISA or serum neutralising antibody tests. Multiplex real time PCR is increasingly used to diagnose respiratory viruses in humans and has proved to be superior to traditional methods. Bovine respiratory disease (BRD) is one of the most common causes of morbidity and mortality in housed cattle and virus infections can play a major role. We describe here a one step multiplex reverse transcriptase quantitative polymerase chain reaction (mRT-qPCR) to detect the viruses commonly implicated in BRD. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 90 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 23% |
| Researcher | 12 | 13% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Professor | 5 | 5% |
| Other | 17 | 18% |
| Unknown | 24 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 28% |
| Veterinary Science and Veterinary Medicine | 14 | 15% |
| Biochemistry, Genetics and Molecular Biology | 8 | 9% |
| Medicine and Dentistry | 6 | 7% |
| Unspecified | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 28 | 30% |
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 29 March 2012.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from BMC Veterinary Research
#2,106
of 3,298 outputs
Outputs of similar age
#134,960
of 172,587 outputs
Outputs of similar age from BMC Veterinary Research
#18
of 22 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,298 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 20th percentile – i.e., 20% 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 172,587 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.