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Distinct microbes, metabolites, and ecologies define the microbiome in deficient and proficient mismatch repair colorectal cancers

Overview of attention for article published in Genome Medicine, October 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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
24 X users
facebook
1 Facebook page

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
154 Mendeley
citeulike
1 CiteULike
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Title
Distinct microbes, metabolites, and ecologies define the microbiome in deficient and proficient mismatch repair colorectal cancers
Published in
Genome Medicine, October 2018
DOI 10.1186/s13073-018-0586-6
Pubmed ID
Authors

Vanessa L. Hale, Patricio Jeraldo, Jun Chen, Michael Mundy, Janet Yao, Sambhawa Priya, Gary Keeney, Kelly Lyke, Jason Ridlon, Bryan A. White, Amy J. French, Stephen N. Thibodeau, Christian Diener, Osbaldo Resendis-Antonio, Jaime Gransee, Tumpa Dutta, Xuan-Mai Petterson, Jaeyun Sung, Ran Blekhman, Lisa Boardman, David Larson, Heidi Nelson, Nicholas Chia

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 17%
Researcher 23 15%
Student > Master 20 13%
Other 17 11%
Student > Doctoral Student 10 6%
Other 23 15%
Unknown 35 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 27%
Medicine and Dentistry 20 13%
Agricultural and Biological Sciences 19 12%
Immunology and Microbiology 14 9%
Computer Science 5 3%
Other 14 9%
Unknown 41 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 30 March 2019.
All research outputs
#1,271,414
of 24,059,832 outputs
Outputs from Genome Medicine
#272
of 1,484 outputs
Outputs of similar age
#28,637
of 354,786 outputs
Outputs of similar age from Genome Medicine
#6
of 26 outputs
Altmetric has tracked 24,059,832 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 81% 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 354,786 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 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.