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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discrimination of infectious hepatitis A virus and rotavirus by combining dyes and surfactants with RT-qPCR
|
|---|---|
| Published in |
BMC Microbiology, October 2013
|
| DOI | 10.1186/1471-2180-13-216 |
| Pubmed ID | |
| Authors |
Coralie Coudray-Meunier, Audrey Fraisse, Sandra Martin-Latil, Laurent Guillier, Sylvie Perelle |
| Abstract |
Human enteric viruses are major agents of foodborne diseases. Because of the absence of a reliable cell culture method for most of the enteric viruses involved in outbreaks, real-time reverse transcriptase PCR is now widely used for the detection of RNA viruses in food samples. However this approach detects viral nucleic acids of both infectious and non infectious viruses, which limits the impact of conclusions with regard to public health concern. The aim of the study was to develop a method to discriminate between infectious and non-infectious particles of hepatitis A virus (HAV) and two strains of rotavirus (RV) following thermal inactivation by using intercalating dyes combined with RT-qPCR. |
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 % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Slovenia | 1 | 1% |
| Unknown | 89 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 24% |
| Student > Ph. D. Student | 15 | 16% |
| Student > Master | 12 | 13% |
| Other | 7 | 8% |
| Student > Doctoral Student | 5 | 5% |
| Other | 16 | 18% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 20% |
| Agricultural and Biological Sciences | 17 | 19% |
| Environmental Science | 12 | 13% |
| Immunology and Microbiology | 6 | 7% |
| Engineering | 5 | 5% |
| Other | 11 | 12% |
| Unknown | 22 | 24% |
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 11 October 2013.
All research outputs
#18,349,805
of 22,725,280 outputs
Outputs from BMC Microbiology
#2,229
of 3,172 outputs
Outputs of similar age
#154,366
of 207,105 outputs
Outputs of similar age from BMC Microbiology
#18
of 26 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,172 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 15th percentile – i.e., 15% 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 207,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.