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Bioelectronic nose and its application to smell visualization

Overview of attention for article published in Journal of Biological Engineering, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Bioelectronic nose and its application to smell visualization
Published in
Journal of Biological Engineering, December 2016
DOI 10.1186/s13036-016-0041-4
Pubmed ID
Authors

Hwi Jin Ko, Tai Hyun Park

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 15%
Researcher 10 15%
Student > Master 10 15%
Student > Bachelor 6 9%
Student > Postgraduate 5 8%
Other 10 15%
Unknown 14 22%
Readers by discipline Count As %
Engineering 12 18%
Agricultural and Biological Sciences 10 15%
Chemistry 6 9%
Biochemistry, Genetics and Molecular Biology 5 8%
Medicine and Dentistry 5 8%
Other 13 20%
Unknown 14 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 December 2022.
All research outputs
#4,552,914
of 23,394,907 outputs
Outputs from Journal of Biological Engineering
#65
of 271 outputs
Outputs of similar age
#83,515
of 422,941 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 7 outputs
Altmetric has tracked 23,394,907 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 271 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 74% 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 422,941 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 78% of its contemporaries.
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.