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Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences

Overview of attention for article published in Journal of Translational Medicine, November 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
3 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences
Published in
Journal of Translational Medicine, November 2021
DOI 10.1186/s12967-021-03154-0
Pubmed ID
Authors

Sukjung Choi, Jongsuk Chung, Mi-La Cho, Donghyun Park, Sun Shim Choi

Twitter Demographics

The data shown below were collected from the profiles of 3 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 23%
Other 2 15%
Student > Bachelor 1 8%
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Other 4 31%
Unknown 1 8%
Readers by discipline Count As %
Unspecified 3 23%
Medicine and Dentistry 3 23%
Biochemistry, Genetics and Molecular Biology 1 8%
Veterinary Science and Veterinary Medicine 1 8%
Immunology and Microbiology 1 8%
Other 1 8%
Unknown 3 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 December 2021.
All research outputs
#3,590,938
of 21,308,069 outputs
Outputs from Journal of Translational Medicine
#556
of 3,673 outputs
Outputs of similar age
#98,181
of 460,561 outputs
Outputs of similar age from Journal of Translational Medicine
#53
of 357 outputs
Altmetric has tracked 21,308,069 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,673 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 84% 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 460,561 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 78% of its contemporaries.
We're also able to compare this research output to 357 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.