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DNA from fecal immunochemical test can replace stool for detection of colonic lesions using a microbiota-based model

Overview of attention for article published in Microbiome, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

blogs
1 blog
twitter
23 X users
patent
1 patent
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
95 Mendeley
Title
DNA from fecal immunochemical test can replace stool for detection of colonic lesions using a microbiota-based model
Published in
Microbiome, November 2016
DOI 10.1186/s40168-016-0205-y
Pubmed ID
Authors

Nielson T. Baxter, Charles C. Koumpouras, Mary A. M. Rogers, Mack T. Ruffin, Patrick D. Schloss

Abstract

There is a significant demand for colorectal cancer (CRC) screening methods that are noninvasive, inexpensive, and capable of accurately detecting early stage tumors. It has been shown that models based on the gut microbiota can complement the fecal occult blood test and fecal immunochemical test (FIT). However, a barrier to microbiota-based screening is the need to collect and store a patient's stool sample. Using stool samples collected from 404 patients, we tested whether the residual buffer containing resuspended feces in FIT cartridges could be used in place of intact stool samples. We found that the bacterial DNA isolated from FIT cartridges largely recapitulated the community structure and membership of patients' stool microbiota and that the abundance of bacteria associated with CRC were conserved. We also found that models for detecting CRC that were generated using bacterial abundances from FIT cartridges were equally predictive as models generated using bacterial abundances from stool. These findings demonstrate the potential for using residual buffer from FIT cartridges in place of stool for microbiota-based screening for CRC. This may reduce the need to collect and process separate stool samples and may facilitate combining FIT and microbiota-based biomarkers into a single test. Additionally, FIT cartridges could constitute a novel data source for studying the role of the microbiome in cancer and other diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Estonia 2 2%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 22%
Student > Ph. D. Student 14 15%
Student > Bachelor 10 11%
Student > Master 9 9%
Student > Doctoral Student 5 5%
Other 14 15%
Unknown 22 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 17%
Medicine and Dentistry 16 17%
Agricultural and Biological Sciences 15 16%
Immunology and Microbiology 9 9%
Nursing and Health Professions 3 3%
Other 10 11%
Unknown 26 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 27 January 2021.
All research outputs
#1,605,834
of 25,452,734 outputs
Outputs from Microbiome
#573
of 1,764 outputs
Outputs of similar age
#27,761
of 313,453 outputs
Outputs of similar age from Microbiome
#7
of 16 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,764 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.2. This one has gotten more attention than average, scoring higher than 67% 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 313,453 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 91% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.