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Microbe observation and cultivation array (MOCA) for cultivating and analyzing environmental microbiota

Overview of attention for article published in Microbiome, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

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7 X users
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1 Facebook page

Citations

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19 Dimensions

Readers on

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83 Mendeley
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Title
Microbe observation and cultivation array (MOCA) for cultivating and analyzing environmental microbiota
Published in
Microbiome, January 2013
DOI 10.1186/2049-2618-1-4
Pubmed ID
Authors

Weimin Gao, Dena Navarroli, Jared Naimark, Weiwen Zhang, Shih-hui Chao, Deirdre R Meldrum

Abstract

The use of culture-independent nucleic acid techniques, such as ribosomal RNA gene cloning library analysis, has unveiled the tremendous microbial diversity that exists in natural environments. In sharp contrast to this great achievement is the current difficulty in cultivating the majority of bacterial species or phylotypes revealed by molecular approaches. Although recent new technologies such as metagenomics and metatranscriptomics can provide more functionality information about the microbial communities, it is still important to develop the capacity to isolate and cultivate individual microbial species or strains in order to gain a better understanding of microbial physiology and to apply isolates for various biotechnological applications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 5%
United States 2 2%
Unknown 77 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 29%
Student > Ph. D. Student 13 16%
Student > Master 13 16%
Student > Bachelor 10 12%
Other 6 7%
Other 11 13%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 55%
Biochemistry, Genetics and Molecular Biology 11 13%
Immunology and Microbiology 5 6%
Engineering 4 5%
Environmental Science 2 2%
Other 9 11%
Unknown 6 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 March 2013.
All research outputs
#6,757,931
of 22,691,736 outputs
Outputs from Microbiome
#1,246
of 1,420 outputs
Outputs of similar age
#74,405
of 282,271 outputs
Outputs of similar age from Microbiome
#5
of 7 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,420 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 282,271 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.