↓ Skip to main content

Correction to: Rapid and simple colorimetric detection of multiple influenza viruses infecting humans using a reverse transcriptional loopmediated isothermal amplification (RT-LAMP) diagnostic…

Overview of attention for article published in BMC Infectious Diseases, December 2020
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Correction to: Rapid and simple colorimetric detection of multiple influenza viruses infecting humans using a reverse transcriptional loopmediated isothermal amplification (RT-LAMP) diagnostic platform
Published in
BMC Infectious Diseases, December 2020
DOI 10.1186/s12879-020-05707-y
Pubmed ID
Authors

Su Jeong Ahn, Yun Hee Baek, Khristine Kaith S. Lloren, Won-Suk Choi, Ju Hwan Jeong, Khristine Joy C. Antigua, Hyeok-il Kwon, Su-Jin Park, Eun-Ha Kim, Young-il Kim, Young-Jae Si, Seung Bok Hong, Kyeong Seob Shin, Sungkun Chun, Young Ki Choi, Min-Suk Song

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 26%
Student > Ph. D. Student 2 7%
Lecturer 1 4%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 5 19%
Unknown 10 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 26%
Medicine and Dentistry 3 11%
Unspecified 1 4%
Agricultural and Biological Sciences 1 4%
Arts and Humanities 1 4%
Other 4 15%
Unknown 10 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 28 December 2020.
All research outputs
#20,675,786
of 23,270,775 outputs
Outputs from BMC Infectious Diseases
#6,581
of 7,791 outputs
Outputs of similar age
#430,038
of 504,527 outputs
Outputs of similar age from BMC Infectious Diseases
#138
of 180 outputs
Altmetric has tracked 23,270,775 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,791 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 1st percentile – i.e., 1% 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 504,527 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.