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Effects of library size variance, sparsity, and compositionality on the analysis of microbiome data

Overview of attention for article published in PeerJ Preprints, June 2015
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Title
Effects of library size variance, sparsity, and compositionality on the analysis of microbiome data
Published in
PeerJ Preprints, June 2015
DOI 10.7287/peerj.preprints.1157v1
Authors

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

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The data shown below were collected from the profiles of 8 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 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 215 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 3%
Researcher 5 2%
Student > Ph. D. Student 2 <1%
Professor 1 <1%
Student > Doctoral Student 1 <1%
Other 0 0%
Unknown 200 93%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 2%
Biochemistry, Genetics and Molecular Biology 2 <1%
Earth and Planetary Sciences 2 <1%
Mathematics 2 <1%
Environmental Science 1 <1%
Other 0 0%
Unknown 203 94%