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Re-purposing 16S rRNA gene sequence data from within case paired tumor biopsy and tumor-adjacent biopsy or fecal samples to identify microbial markers for colorectal cancer

Overview of attention for article published in PLOS ONE, November 2018
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
56 Mendeley
Title
Re-purposing 16S rRNA gene sequence data from within case paired tumor biopsy and tumor-adjacent biopsy or fecal samples to identify microbial markers for colorectal cancer
Published in
PLOS ONE, November 2018
DOI 10.1371/journal.pone.0207002
Pubmed ID
Authors

Manasi S. Shah, Todd DeSantis, Jose-Miguel Yamal, Tiffany Weir, Elizabeth P. Ryan, Julia L. Cope, Emily B. Hollister

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 18%
Student > Ph. D. Student 8 14%
Student > Bachelor 5 9%
Student > Doctoral Student 4 7%
Lecturer 3 5%
Other 10 18%
Unknown 16 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 18%
Medicine and Dentistry 9 16%
Agricultural and Biological Sciences 5 9%
Immunology and Microbiology 4 7%
Engineering 2 4%
Other 10 18%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 17 April 2019.
All research outputs
#2,916,696
of 23,112,054 outputs
Outputs from PLOS ONE
#38,199
of 197,140 outputs
Outputs of similar age
#62,896
of 350,222 outputs
Outputs of similar age from PLOS ONE
#652
of 3,264 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 197,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 80% 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 350,222 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 82% of its contemporaries.
We're also able to compare this research output to 3,264 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.