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Rapid culture-based detection of living mycobacteria using microchannel electrical impedance spectroscopy (m-EIS)

Overview of attention for article published in Biological Research, June 2017
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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4 tweeters
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1 Facebook page

Citations

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4 Dimensions

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16 Mendeley
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Title
Rapid culture-based detection of living mycobacteria using microchannel electrical impedance spectroscopy (m-EIS)
Published in
Biological Research, June 2017
DOI 10.1186/s40659-017-0126-7
Pubmed ID
Authors

Roli Kargupta, Sachidevi Puttaswamy, Aiden J. Lee, Timothy E. Butler, Zhongyu Li, Sounak Chakraborty, Shramik Sengupta

Abstract

Multiple techniques exist for detecting Mycobacteria, each having its own advantages and drawbacks. Among them, automated culture-based systems like the BACTEC-MGIT™ are popular because they are inexpensive, reliable and highly accurate. However, they have a relatively long "time-to-detection" (TTD). Hence, a method that retains the reliability and low-cost of the MGIT system, while reducing TTD would be highly desirable. Living bacterial cells possess a membrane potential, on account of which they store charge when subjected to an AC-field. This charge storage (bulk capacitance) can be estimated using impedance measurements at multiple frequencies. An increase in the number of living cells during culture is reflected in an increase in bulk capacitance, and this forms the basis of our detection. M. bovis BCG and M. smegmatis suspensions with differing initial loads are cultured in MGIT media supplemented with OADC and Middlebrook 7H9 media respectively, electrical "scans" taken at regular intervals and the bulk capacitance estimated from the scans. Bulk capacitance estimates at later time-points are statistically compared to the suspension's baseline value. A statistically significant increase is assumed to indicate the presence of proliferating mycobacteria. Our TTDs were 60 and 36 h for M. bovis BCG and 20 and 9 h for M. smegmatis with initial loads of 1000 CFU/ml and 100,000 CFU/ml respectively. The corresponding TTDs for the commercial BACTEC MGIT 960 system were 131 and 84.6 h for M. bovis BCG and 41.7 and 12 h for M smegmatis, respectively. Our culture-based detection method using multi-frequency impedance measurements is capable of detecting mycobacteria faster than current commercial systems.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 31%
Student > Bachelor 2 13%
Professor 1 6%
Other 1 6%
Student > Ph. D. Student 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Medicine and Dentistry 3 19%
Immunology and Microbiology 2 13%
Nursing and Health Professions 2 13%
Chemical Engineering 1 6%
Social Sciences 1 6%
Other 2 13%
Unknown 5 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 September 2017.
All research outputs
#5,942,074
of 11,841,124 outputs
Outputs from Biological Research
#64
of 279 outputs
Outputs of similar age
#98,330
of 272,662 outputs
Outputs of similar age from Biological Research
#2
of 8 outputs
Altmetric has tracked 11,841,124 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 279 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 76% 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 272,662 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.