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Precipitation collector bias and its effects on temporal trends and spatial variability in National Atmospheric Deposition Program/National Trends Network data

Overview of attention for article published in Environmental Pollution, February 2017
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Title
Precipitation collector bias and its effects on temporal trends and spatial variability in National Atmospheric Deposition Program/National Trends Network data
Published in
Environmental Pollution, February 2017
DOI 10.1016/j.envpol.2016.12.036
Pubmed ID
Authors

Gregory A. Wetherbee

Abstract

Precipitation samples have been collected by the National Atmospheric Deposition Program's (NADP) National Trends Network (NTN) using the Aerochem Metrics Model 301 (ACM) collector since 1978. Approximately one-third of the NTN ACM collectors have been replaced with N-CON Systems, Inc. Model ADS 00-120 (NCON) collectors. Concurrent data were collected over 6 years at 12 NTN sites using colocated ACM and NCON collectors in various precipitation regimes. Linear regression models of the colocated data were used to adjust for relative bias between the collectors. Replacement of ACM collectors with NCON collectors resulted in shifts in 10-year seasonal precipitation-weighted mean concentration (PWMC) trend slopes for: cations (-0.001 to -0.007 mgL(-1)yr(-1)), anions (-0.009 to -0.028 mgL(-1)yr(-1)), and hydrogen ion (+0.689 meqL-(1)yr(-1)). Larger shifts in NO3(-) and SO4(-2) seasonal PWMC trend slopes were observed in the Midwest and Northeast US, where concentrations are generally higher than in other regions. Geospatial analysis of interpolated concentration rasters indicated regions of accentuated variability introduced by incorporation of NCON collectors into the NTN.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 38%
Student > Ph. D. Student 4 31%
Professor > Associate Professor 1 8%
Unknown 3 23%
Readers by discipline Count As %
Environmental Science 5 38%
Biochemistry, Genetics and Molecular Biology 1 8%
Earth and Planetary Sciences 1 8%
Engineering 1 8%
Unknown 5 38%
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 24 February 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Environmental Pollution
#10,058
of 13,435 outputs
Outputs of similar age
#365,805
of 424,972 outputs
Outputs of similar age from Environmental Pollution
#112
of 183 outputs
Altmetric has tracked 25,382,440 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 13,435 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 183 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.