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Normalization and microbial differential abundance strategies depend upon data characteristics

Overview of attention for article published in Microbiome, March 2017
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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 (83rd percentile)

Mentioned by

news
3 news outlets
blogs
3 blogs
twitter
98 X users
patent
5 patents
facebook
2 Facebook pages

Citations

dimensions_citation
1415 Dimensions

Readers on

mendeley
2600 Mendeley
citeulike
1 CiteULike
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Title
Normalization and microbial differential abundance strategies depend upon data characteristics
Published in
Microbiome, March 2017
DOI 10.1186/s40168-017-0237-y
Pubmed ID
Authors

Sophie Weiss, Zhenjiang Zech Xu, Shyamal Peddada, Amnon Amir, Kyle Bittinger, Antonio Gonzalez, Catherine Lozupone, Jesse R. Zaneveld, Yoshiki Vázquez-Baeza, Amanda Birmingham, Embriette R. Hyde, Rob Knight

X Demographics

X Demographics

The data shown below were collected from the profiles of 98 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 2,600 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
France 2 <1%
United Kingdom 2 <1%
Canada 2 <1%
Brazil 1 <1%
Switzerland 1 <1%
Unknown 2586 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 699 27%
Researcher 441 17%
Student > Master 383 15%
Student > Bachelor 228 9%
Student > Doctoral Student 145 6%
Other 248 10%
Unknown 456 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 804 31%
Biochemistry, Genetics and Molecular Biology 435 17%
Environmental Science 201 8%
Immunology and Microbiology 159 6%
Medicine and Dentistry 79 3%
Other 352 14%
Unknown 570 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 102. 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 08 December 2022.
All research outputs
#419,947
of 26,017,215 outputs
Outputs from Microbiome
#102
of 1,790 outputs
Outputs of similar age
#8,862
of 327,964 outputs
Outputs of similar age from Microbiome
#7
of 42 outputs
Altmetric has tracked 26,017,215 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 1,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.0. 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 327,964 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 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.