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Critical Issues in Mycobiota Analysis

Overview of attention for article published in Frontiers in Microbiology, February 2017
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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1 blog
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67 Dimensions

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205 Mendeley
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Title
Critical Issues in Mycobiota Analysis
Published in
Frontiers in Microbiology, February 2017
DOI 10.3389/fmicb.2017.00180
Pubmed ID
Authors

Bettina Halwachs, Nandhitha Madhusudhan, Robert Krause, R. Henrik Nilsson, Christine Moissl-Eichinger, Christoph Högenauer, Gerhard G. Thallinger, Gregor Gorkiewicz

Abstract

Fungi constitute an important part of the human microbiota and they play a significant role for health and disease development. Advancements made in the culture-independent analysis of microbial communities have broadened our understanding of the mycobiota, however, microbiota analysis tools have been mainly developed for bacteria (e.g., targeting the 16S rRNA gene) and they often fall short if applied to fungal marker-gene based investigations (i.e., internal transcribed spacers, ITS). In the current paper we discuss all major steps of a fungal amplicon analysis starting with DNA extraction from specimens up to bioinformatics analyses of next-generation sequencing data. Specific points are discussed at each step and special emphasis is placed on the bioinformatics challenges emerging during operational taxonomic unit (OTU) picking, a critical step in mycobiota analysis. By using an in silico ITS1 mock community we demonstrate that standard analysis pipelines fall short if used with default settings showing erroneous fungal community representations. We highlight that switching OTU picking to a closed reference approach greatly enhances performance. Finally, recommendations are given on how to perform ITS based mycobiota analysis with the currently available measures.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 <1%
Belgium 1 <1%
Unknown 202 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 20%
Researcher 40 20%
Student > Master 32 16%
Student > Bachelor 22 11%
Student > Doctoral Student 10 5%
Other 24 12%
Unknown 35 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 36%
Biochemistry, Genetics and Molecular Biology 29 14%
Immunology and Microbiology 14 7%
Medicine and Dentistry 10 5%
Environmental Science 10 5%
Other 22 11%
Unknown 46 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 28 March 2017.
All research outputs
#2,597,940
of 24,093,053 outputs
Outputs from Frontiers in Microbiology
#2,097
of 27,122 outputs
Outputs of similar age
#56,334
of 435,187 outputs
Outputs of similar age from Frontiers in Microbiology
#53
of 433 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,122 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 92% 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 435,187 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 87% of its contemporaries.
We're also able to compare this research output to 433 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.