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An Ultra-Rapid Real-Time RT-PCR Method Using the PCR1100 to Detect Severe Acute Respiratory Syndrome Coronavirus-2

Overview of attention for article published in Japanese Journal of Infectious Diseases, June 2020
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1 X user

Citations

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Title
An Ultra-Rapid Real-Time RT-PCR Method Using the PCR1100 to Detect Severe Acute Respiratory Syndrome Coronavirus-2
Published in
Japanese Journal of Infectious Diseases, June 2020
DOI 10.7883/yoken.jjid.2020.324
Pubmed ID
Authors

Kazuya Shirato, Naganori Nao, Shutoku Matsuyama, Makoto Takeda, Tsutomu Kageyama

X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 10%
Researcher 6 10%
Student > Bachelor 5 8%
Student > Master 4 7%
Student > Ph. D. Student 3 5%
Other 15 25%
Unknown 21 35%
Readers by discipline Count As %
Medicine and Dentistry 13 22%
Biochemistry, Genetics and Molecular Biology 3 5%
Nursing and Health Professions 3 5%
Agricultural and Biological Sciences 3 5%
Engineering 3 5%
Other 13 22%
Unknown 22 37%
Attention Score in Context

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 09 August 2020.
All research outputs
#20,669,432
of 25,387,668 outputs
Outputs from Japanese Journal of Infectious Diseases
#612
of 881 outputs
Outputs of similar age
#331,753
of 432,340 outputs
Outputs of similar age from Japanese Journal of Infectious Diseases
#15
of 21 outputs
Altmetric has tracked 25,387,668 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 881 research outputs from this source. They receive a mean Attention Score of 3.3. 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 432,340 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.