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Precision detection of select human lung cancer biomarkers and cell lines using honeybee olfactory neural circuitry as a novel gas sensor

Overview of attention for article published in Biosensors & Bioelectronics, June 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 7,089)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
49 news outlets
blogs
3 blogs
twitter
39 X users
facebook
1 Facebook page
reddit
2 Redditors
video
1 YouTube creator

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Precision detection of select human lung cancer biomarkers and cell lines using honeybee olfactory neural circuitry as a novel gas sensor
Published in
Biosensors & Bioelectronics, June 2024
DOI 10.1016/j.bios.2024.116466
Pubmed ID
Authors

Michael Parnas, Autumn K McLane-Svoboda, Elyssa Cox, Summer B McLane-Svoboda, Simon W Sanchez, Alexander Farnum, Anthony Tundo, Noël Lefevre, Sydney Miller, Emily Neeb, Christopher H Contag, Debajit Saha

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 39 X users 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 50%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Unspecified 2 50%
Neuroscience 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 393. 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 20 August 2024.
All research outputs
#83,692
of 26,746,546 outputs
Outputs from Biosensors & Bioelectronics
#8
of 7,089 outputs
Outputs of similar age
#1,142
of 327,998 outputs
Outputs of similar age from Biosensors & Bioelectronics
#1
of 59 outputs
Altmetric has tracked 26,746,546 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,089 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 327,998 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 99% of its contemporaries.
We're also able to compare this research output to 59 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 98% of its contemporaries.