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Geochip-based analysis of microbial communities in alpine meadow soils in the Qinghai-Tibetan plateau

Overview of attention for article published in BMC Microbiology, March 2013
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3 X users

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72 Mendeley
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Title
Geochip-based analysis of microbial communities in alpine meadow soils in the Qinghai-Tibetan plateau
Published in
BMC Microbiology, March 2013
DOI 10.1186/1471-2180-13-72
Pubmed ID
Authors

Yuguang Zhang, Zhenmei Lu, Shanshan Liu, Yunfeng Yang, Zhili He, Zuohua Ren, Jizhong Zhou, Diqiang Li

Abstract

GeoChip 3.0, a microbial functional gene array, containing ~28,000 oligonucleotide probes and targeting ~57,000 sequences from 292 functional gene families, provided a powerful tool for researching microbial community structure in natural environments. The alpine meadow is a dominant plant community in the Qinghai-Tibetan plateau, hence it is important to profile the unique geographical flora and assess the response of the microbial communities to environmental variables. In this study, Geochip 3.0 was employed to understand the microbial functional gene diversity and structure, and metabolic potential and the major environmental factors in shaping microbial communities structure of alpine meadow soil in Qinghai-Tibetan Plateau.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 3%
Mexico 1 1%
China 1 1%
Spain 1 1%
United States 1 1%
Unknown 66 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Researcher 8 11%
Student > Doctoral Student 8 11%
Student > Master 7 10%
Student > Bachelor 6 8%
Other 10 14%
Unknown 11 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 51%
Environmental Science 14 19%
Biochemistry, Genetics and Molecular Biology 3 4%
Unspecified 1 1%
Computer Science 1 1%
Other 2 3%
Unknown 14 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 March 2013.
All research outputs
#14,165,787
of 22,703,044 outputs
Outputs from BMC Microbiology
#1,439
of 3,171 outputs
Outputs of similar age
#113,190
of 198,759 outputs
Outputs of similar age from BMC Microbiology
#20
of 33 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,171 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 50% 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 198,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.