↓ Skip to main content

amoA-encoding archaea and thaumarchaeol in the lakes on the northeastern Qinghai-Tibetan Plateau, China

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

Mentioned by

twitter
1 X user

Readers on

mendeley
58 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
amoA-encoding archaea and thaumarchaeol in the lakes on the northeastern Qinghai-Tibetan Plateau, China
Published in
Frontiers in Microbiology, January 2013
DOI 10.3389/fmicb.2013.00329
Pubmed ID
Authors

Jian Yang, Hongchen Jiang, Hailiang Dong, Huanye Wang, Geng Wu, Weiguo Hou, Weiguo Liu, Chuanlun Zhang, Yongjuan Sun, Zhongping Lai

Abstract

All known ammonia-oxidizing archaea (AOA) belong to the phylum Thaumarchaeota within the domain Archaea. AOA possess the diagnostic amoA gene (encoding the alpha subunit of ammonia monooxygenase) and produce lipid biomarker thaumarchaeol. Although the abundance and diversity of amoA gene-encoding archaea (AEA) in freshwater lakes have been well-studied, little is known about AEA ecology in saline/hypersaline lakes. In this study, the distribution of the archaeal amoA gene and thaumarchaeol were investigated in nine Qinghai-Tibetan lakes with a salinity range from freshwater to salt-saturation (salinity: 325 g L(-) (1)). The results showed that the archaeal amoA gene was present in hypersaline lakes with salinity up to 160 g L(-) (1). The archaeal amoA gene diversity in Tibetan lakes was different from those in other lakes worldwide, suggesting Tibetan lakes (high elevation, strong ultraviolet, and dry climate) may host a unique AEA population of different evolutionary origin from those in other lakes. Thaumarchaeol was present in all of the studied hypersaline lakes, even in those where no AEA amoA gene was observed. Future research is needed to determine the ecological function of AEA and possible sources of thaumarchaeol in the Qinghai-Tibetan hypersaline lakes.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
United Kingdom 1 2%
Canada 1 2%
Mexico 1 2%
Japan 1 2%
Unknown 53 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 31%
Student > Master 13 22%
Researcher 13 22%
Student > Bachelor 3 5%
Professor 3 5%
Other 4 7%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 47%
Environmental Science 9 16%
Earth and Planetary Sciences 3 5%
Chemistry 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 2 3%
Unknown 12 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 November 2013.
All research outputs
#20,209,145
of 22,729,647 outputs
Outputs from Frontiers in Microbiology
#22,183
of 24,593 outputs
Outputs of similar age
#248,798
of 280,769 outputs
Outputs of similar age from Frontiers in Microbiology
#264
of 407 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,593 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% 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 280,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 407 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.