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Intelligent Genetic Decoding System Based on Nucleic Acid Isothermal Amplification for Non-Small Cell Lung Cancer Diagnosis

Overview of attention for article published in Micromachines, March 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#23 of 2,387)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
reddit
1 Redditor

Readers on

mendeley
3 Mendeley
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Title
Intelligent Genetic Decoding System Based on Nucleic Acid Isothermal Amplification for Non-Small Cell Lung Cancer Diagnosis
Published in
Micromachines, March 2023
DOI 10.3390/mi14030647
Pubmed ID
Authors

Xiaonan Liu, Jiaxing Zhang, Kai Hua

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Lecturer 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 17 March 2023.
All research outputs
#1,672,342
of 23,549,388 outputs
Outputs from Micromachines
#23
of 2,387 outputs
Outputs of similar age
#26,961
of 357,438 outputs
Outputs of similar age from Micromachines
#1
of 43 outputs
Altmetric has tracked 23,549,388 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,387 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 99% of its peers.
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 357,438 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.