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Detection of 2-aminoethylphosphonic acid in suspended particles in an ultraoligotrophic lake: a two-dimensional nuclear magnetic resonance (2D-NMR) study

Overview of attention for article published in Environmental Science and Pollution Research, March 2018
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Detection of 2-aminoethylphosphonic acid in suspended particles in an ultraoligotrophic lake: a two-dimensional nuclear magnetic resonance (2D-NMR) study
Published in
Environmental Science and Pollution Research, March 2018
DOI 10.1007/s11356-018-1744-5
Pubmed ID
Authors

Ryuichiro Shinohara, Tomoya Iwata, Yoshiki Ikarashi, Tomoharu Sano

Abstract

Particulate organic phosphorus (P) compounds were examined in ultraoligotrophic Lake Saiko, Japan. A cartridge filter was used to collect sufficient amount of suspended particles for analysis by a two-dimensional NMR (1H-31P heteronuclear multiple bond correlation). 2-Aminoethylphosphonic acid (2-AEP), a phosphonate, was detected in suspended particles in Lake Saiko. The identity of the phosphonate was confirmed by comparison with a commercially available compound. Because 2-AEP is bioavailable, microorganisms can store and use this compound under extremely P-limited conditions. This is the first study to detect 2-AEP in an ultra-oligotrophic environment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 33%
Professor > Associate Professor 2 22%
Researcher 2 22%
Student > Ph. D. Student 1 11%
Unknown 1 11%
Readers by discipline Count As %
Environmental Science 3 33%
Agricultural and Biological Sciences 2 22%
Chemistry 1 11%
Unknown 3 33%
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 22 March 2018.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#3,738
of 9,883 outputs
Outputs of similar age
#216,360
of 335,856 outputs
Outputs of similar age from Environmental Science and Pollution Research
#77
of 214 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 48th percentile – i.e., 48% 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 335,856 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 214 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.