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Functional and genetic markers of niche partitioning among enigmatic members of the human oral microbiome

Overview of attention for article published in Genome Biology, December 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
8 news outlets
twitter
49 X users
wikipedia
1 Wikipedia page
reddit
1 Redditor

Citations

dimensions_citation
142 Dimensions

Readers on

mendeley
137 Mendeley
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Title
Functional and genetic markers of niche partitioning among enigmatic members of the human oral microbiome
Published in
Genome Biology, December 2020
DOI 10.1186/s13059-020-02195-w
Pubmed ID
Authors

Alon Shaiber, Amy D. Willis, Tom O. Delmont, Simon Roux, Lin-Xing Chen, Abigail C. Schmid, Mahmoud Yousef, Andrea R. Watson, Karen Lolans, Özcan C. Esen, Sonny T. M. Lee, Nora Downey, Hilary G. Morrison, Floyd E. Dewhirst, Jessica L. Mark Welch, A. Murat Eren

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 18%
Researcher 21 15%
Student > Master 18 13%
Student > Bachelor 15 11%
Student > Doctoral Student 11 8%
Other 14 10%
Unknown 33 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 22%
Agricultural and Biological Sciences 23 17%
Immunology and Microbiology 14 10%
Medicine and Dentistry 14 10%
Environmental Science 6 4%
Other 11 8%
Unknown 39 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 91. 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 21 August 2022.
All research outputs
#463,484
of 25,387,668 outputs
Outputs from Genome Biology
#255
of 4,470 outputs
Outputs of similar age
#12,884
of 518,109 outputs
Outputs of similar age from Genome Biology
#7
of 89 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 94% 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 518,109 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 97% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.