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Comparison of the Chemical Composition of Dissolved Organic Matter in Three Lakes in Minnesota

Overview of attention for article published in Environmental Science & Technology, February 2018
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Title
Comparison of the Chemical Composition of Dissolved Organic Matter in Three Lakes in Minnesota
Published in
Environmental Science & Technology, February 2018
DOI 10.1021/acs.est.7b04076
Pubmed ID
Authors

Xiaoyan Cao, George R. Aiken, Kenna D. Butler, Jingdong Mao, Klaus Schmidt-Rohr

Abstract

New information on the chemical composition of dissolved organic matter (DOM) in three lakes in Minnesota has been gained from spectral editing and two-dimensional nuclear magnetic resonance (NMR) methods, indicating the effects of lake hydrological settings on DOM composition. Williams Lake (WL), Shingobee Lake (SL) and Manganika Lake (ML) have different source inputs, and the lake water residence time (WRT) of WL is markedly longer than that of SL and ML. The hydrophobic organic acid (HPOA) and transphilic organic acid (TPIA) fractions combined composed > 50% of total DOM in these lakes, and contained carboxyl-rich alicyclic molecules (CRAM), aromatics, carbohydrates, and N-containing compounds. The previously understudied TPIA fractions contained fewer aromatics, more O-rich CRAM, and more N-containing compounds compared to the corresponding HPOA. CRAM represented the predominant component in DOM from all lakes studied, and more so in WL than in SL and ML. Aromatics including lignin residues and phenols decreased in relative abundances from ML to SL and WL. Carbohydrates and N-containing compounds were minor components in both HPOA and TPIA and did not show large variations among the three lakes. The increased relative abundances of CRAM in DOM from ML, SL to WL suggested the selective preservation of CRAM with increased residence time.

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Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Ph. D. Student 6 19%
Student > Master 4 13%
Professor 2 6%
Other 2 6%
Other 4 13%
Unknown 6 19%
Readers by discipline Count As %
Environmental Science 11 34%
Chemistry 4 13%
Agricultural and Biological Sciences 3 9%
Earth and Planetary Sciences 1 3%
Engineering 1 3%
Other 0 0%
Unknown 12 38%

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 26 April 2018.
All research outputs
#10,264,633
of 12,858,386 outputs
Outputs from Environmental Science & Technology
#11,535
of 12,947 outputs
Outputs of similar age
#204,317
of 270,804 outputs
Outputs of similar age from Environmental Science & Technology
#194
of 225 outputs
Altmetric has tracked 12,858,386 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,947 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.