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Mendeley readers
Attention Score in Context
Chapter title |
Identification of a novel coronavirus from Guinea fowl using metagenomics.
|
---|---|
Chapter number | 2 |
Book title |
Coronaviruses
|
Published in |
Methods in molecular biology, February 2015
|
DOI | 10.1007/978-1-4939-2438-7_2 |
Pubmed ID | |
Book ISBNs |
978-1-4939-2437-0, 978-1-4939-2438-7
|
Authors |
Mariette F Ducatez, Jean-Luc Guérin, Mariette F. Ducatez, Ducatez, Mariette F., Guérin, Jean-Luc |
Editors |
Helena Jane Maier, Erica Bickerton, Paul Britton |
Abstract |
While classical virology techniques such as virus culture, electron microscopy, or classical PCR had been unsuccessful in identifying the causative agent responsible for the fulminating disease of guinea fowl, we identified a novel avian gammacoronavirus associated with the disease using metagenomics. Next-generation sequencing is an unbiased approach that allows the sequencing of virtually all the genetic material present in a given sample. |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 5% |
Unknown | 35 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 14% |
Other | 4 | 11% |
Researcher | 3 | 8% |
Student > Postgraduate | 3 | 8% |
Student > Doctoral Student | 2 | 5% |
Other | 10 | 27% |
Unknown | 10 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 22% |
Biochemistry, Genetics and Molecular Biology | 4 | 11% |
Agricultural and Biological Sciences | 4 | 11% |
Linguistics | 2 | 5% |
Nursing and Health Professions | 2 | 5% |
Other | 7 | 19% |
Unknown | 10 | 27% |
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 30 April 2020.
All research outputs
#15,821,622
of 23,498,099 outputs
Outputs from Methods in molecular biology
#5,527
of 13,368 outputs
Outputs of similar age
#217,287
of 361,197 outputs
Outputs of similar age from Methods in molecular biology
#334
of 984 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,368 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 361,197 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 984 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.