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Machine learning enabled 2D photonic crystal biosensor for early cancer detection

Overview of attention for article published in Measurement (02632241), January 2024
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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 (#45 of 1,237)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Machine learning enabled 2D photonic crystal biosensor for early cancer detection
Published in
Measurement (02632241), January 2024
DOI 10.1016/j.measurement.2023.113858
Authors

V.R Balaji, M.A Ibrar Jahan, T. Sridarshini, S. Geerthana, Arun Thirumurugan, Gopalkrishna Hegde, R. Sitharthan, Shanmuga Sundar Dhanabalan

Timeline

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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.
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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Professor 1 9%
Unspecified 1 9%
Student > Ph. D. Student 1 9%
Other 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Computer Science 2 18%
Unspecified 1 9%
Materials Science 1 9%
Engineering 1 9%
Unknown 6 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 13 December 2023.
All research outputs
#3,562,853
of 26,180,352 outputs
Outputs from Measurement (02632241)
#45
of 1,237 outputs
Outputs of similar age
#54,882
of 373,356 outputs
Outputs of similar age from Measurement (02632241)
#2
of 15 outputs
Altmetric has tracked 26,180,352 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,237 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 95% 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 373,356 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.