↓ Skip to main content

Dual-mode SERS-based lateral flow assay strips for simultaneous diagnosis of SARS-CoV-2 and influenza a virus

Overview of attention for article published in Nano Convergence, September 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
21 Mendeley
Title
Dual-mode SERS-based lateral flow assay strips for simultaneous diagnosis of SARS-CoV-2 and influenza a virus
Published in
Nano Convergence, September 2022
DOI 10.1186/s40580-022-00330-w
Pubmed ID
Authors

Mengdan Lu, Younju Joung, Chang Su Jeon, Sunjoo Kim, Dongeun Yong, Hyowon Jang, Sung Hyun Pyun, Taejoon Kang, Jaebum Choo

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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 19%
Student > Master 3 14%
Student > Doctoral Student 2 10%
Professor 2 10%
Student > Bachelor 2 10%
Other 2 10%
Unknown 6 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 24%
Biochemistry, Genetics and Molecular Biology 3 14%
Engineering 3 14%
Materials Science 2 10%
Immunology and Microbiology 1 5%
Other 1 5%
Unknown 6 29%
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 05 September 2022.
All research outputs
#16,584,011
of 24,393,999 outputs
Outputs from Nano Convergence
#71
of 116 outputs
Outputs of similar age
#242,893
of 419,998 outputs
Outputs of similar age from Nano Convergence
#2
of 7 outputs
Altmetric has tracked 24,393,999 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 116 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 26th percentile – i.e., 26% 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 419,998 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.