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A Step Towards Miniaturized Milk Adulteration Detection System: Smartphone-Based Accurate pH Sensing Using Electrospun Halochromic Nanofibers

Overview of attention for article published in Food Analytical Methods, November 2018
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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 (#1 of 582)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
14 news outlets

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
79 Mendeley
Title
A Step Towards Miniaturized Milk Adulteration Detection System: Smartphone-Based Accurate pH Sensing Using Electrospun Halochromic Nanofibers
Published in
Food Analytical Methods, November 2018
DOI 10.1007/s12161-018-1391-y
Authors

Suryasnata Tripathy, Manne Shanmukh Reddy, Siva Rama Krishna Vanjari, Soumya Jana, Shiv Govind Singh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 15%
Student > Bachelor 9 11%
Student > Master 7 9%
Student > Doctoral Student 6 8%
Researcher 5 6%
Other 10 13%
Unknown 30 38%
Readers by discipline Count As %
Engineering 13 16%
Agricultural and Biological Sciences 9 11%
Chemistry 7 9%
Computer Science 3 4%
Chemical Engineering 2 3%
Other 9 11%
Unknown 36 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 111. 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 November 2018.
All research outputs
#322,501
of 23,114,117 outputs
Outputs from Food Analytical Methods
#1
of 582 outputs
Outputs of similar age
#7,718
of 350,235 outputs
Outputs of similar age from Food Analytical Methods
#1
of 13 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 582 research outputs from this source. They receive a mean Attention Score of 1.9. 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 350,235 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 97% of its contemporaries.
We're also able to compare this research output to 13 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 92% of its contemporaries.