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ODX: A Fitness Tracker-Based Device for Continuous Bacterial Growth Monitoring

Overview of attention for article published in Analytical Chemistry, September 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 26,290)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
396 tweeters
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
63 Mendeley
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Title
ODX: A Fitness Tracker-Based Device for Continuous Bacterial Growth Monitoring
Published in
Analytical Chemistry, September 2019
DOI 10.1021/acs.analchem.9b02628
Pubmed ID
Authors

Venkata V. B. Yallapragada, Uday Gowda, David Wong, Liam O’Faolain, Mark Tangney, Ganga C. R. Devarapu

Abstract

Continuous monitoring of bacterial growth in aqueous media is a crucial process in academic research as well as in the biotechnology industry. Bacterial growth is usually monitored by measuring the optical density of bacteria in liquid media, using benchtop spectrophotometers. Due to the large form factor of the existing spectrophotometers, they cannot be used for live monitoring of the bacteria inside bacterial incubation chambers. Additionally, the use of benchtop spectrometers for continuous monitoring requires multiple samplings and is labor intensive. To overcome these challenges, we have developed an optical density measuring device (ODX) by modifying a generic fitness tracker. The resulting ODX device is an ultraportable and low-cost device that can be used inside bacterial incubators for real-time monitoring even while shaking is in progress. We evaluated the performance of ODX with different bacterial types and growth conditions and compared it with a commercial benchtop spectrophotometer. In all cases, ODX showed comparable performance to that of the standard benchtop spectrophotometer. Finally, we demonstrate a simple and useful smartphone application whereby the user is notified when the bacterial concentration reaches the targeted value. Due to its potential for automation and mass production, we believe that the ODX has a wide range of applications in biotechnology research and industry.

Twitter Demographics

The data shown below were collected from the profiles of 396 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 29%
Student > Ph. D. Student 13 21%
Student > Master 6 10%
Student > Bachelor 4 6%
Professor 4 6%
Other 11 17%
Unknown 7 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 24%
Agricultural and Biological Sciences 10 16%
Chemistry 4 6%
Physics and Astronomy 3 5%
Medicine and Dentistry 2 3%
Other 12 19%
Unknown 17 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 274. 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 11 October 2022.
All research outputs
#105,010
of 22,560,481 outputs
Outputs from Analytical Chemistry
#14
of 26,290 outputs
Outputs of similar age
#2,000
of 287,519 outputs
Outputs of similar age from Analytical Chemistry
#3
of 350 outputs
Altmetric has tracked 22,560,481 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 26,290 research outputs from this source. They receive a mean Attention Score of 4.7. 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 287,519 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 350 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 99% of its contemporaries.