↓ Skip to main content

Utilizing novel diversity estimators to quantify multiple dimensions of microbial biodiversity across domains

Overview of attention for article published in BMC Microbiology, January 2013
Altmetric Badge

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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
6 tweeters
patent
1 patent

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
89 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Utilizing novel diversity estimators to quantify multiple dimensions of microbial biodiversity across domains
Published in
BMC Microbiology, January 2013
DOI 10.1186/1471-2180-13-259
Pubmed ID
Authors

Hannah M Doll, David W Armitage, Rebecca A Daly, Joanne B Emerson, Daniela S Goltsman, Alexis P Yelton, Jennifer Kerekes, Mary K Firestone, Matthew D Potts

Abstract

Microbial ecologists often employ methods from classical community ecology to analyze microbial community diversity. However, these methods have limitations because microbial communities differ from macro-organismal communities in key ways. This study sought to quantify microbial diversity using methods that are better suited for data spanning multiple domains of life and dimensions of diversity. Diversity profiles are one novel, promising way to analyze microbial datasets. Diversity profiles encompass many other indices, provide effective numbers of diversity (mathematical generalizations of previous indices that better convey the magnitude of differences in diversity), and can incorporate taxa similarity information. To explore whether these profiles change interpretations of microbial datasets, diversity profiles were calculated for four microbial datasets from different environments spanning all domains of life as well as viruses. Both similarity-based profiles that incorporated phylogenetic relatedness and naïve (not similarity-based) profiles were calculated. Simulated datasets were used to examine the robustness of diversity profiles to varying phylogenetic topology and community composition.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 11%
Australia 1 1%
France 1 1%
Indonesia 1 1%
Brazil 1 1%
South Africa 1 1%
Malaysia 1 1%
Unknown 73 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 29%
Student > Ph. D. Student 20 22%
Student > Master 12 13%
Professor > Associate Professor 9 10%
Student > Doctoral Student 8 9%
Other 9 10%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 55%
Environmental Science 14 16%
Immunology and Microbiology 5 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Chemistry 2 2%
Other 7 8%
Unknown 8 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 15 December 2013.
All research outputs
#2,299,313
of 11,283,887 outputs
Outputs from BMC Microbiology
#254
of 1,595 outputs
Outputs of similar age
#27,667
of 155,155 outputs
Outputs of similar age from BMC Microbiology
#7
of 53 outputs
Altmetric has tracked 11,283,887 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,595 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 83% 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 155,155 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 82% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.