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Role of surface and subsurface processes in scaling N2O emissions along riverine networks

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, April 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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5 news outlets
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11 X users

Readers on

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149 Mendeley
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2 CiteULike
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Article details
Title
Role of surface and subsurface processes in scaling N2O emissions along riverine networks
Published in
Proceedings of the National Academy of Sciences of the United States of America, April 2017
DOI 10.1073/pnas.1617454114
Pubmed ID
Authors
Abstract

Riverine environments, such as streams and rivers, have been reported as sources of the potent greenhouse gas nitrous oxide ([Formula: see text]) to the atmosphere mainly via microbially mediated denitrification. Our limited understanding of the relative roles of the near-surface streambed sediment (hyporheic zone), benthic, and water column zones in controlling [Formula: see text] production precludes predictions of [Formula: see text] emissions along riverine networks. Here, we analyze [Formula: see text] emissions from streams and rivers worldwide of different sizes, morphology, land cover, biomes, and climatic conditions. We show that the primary source of [Formula: see text] emissions varies with stream and river size and shifts from the hyporheic-benthic zone in headwater streams to the benthic-water column zone in rivers. This analysis reveals that [Formula: see text] production is bounded between two [Formula: see text] emission potentials: the upper [Formula: see text] emission potential results from production within the benthic-hyporheic zone, and the lower [Formula: see text] emission potential reflects the production within the benthic-water column zone. By understanding the scaling nature of [Formula: see text] production along riverine networks, our framework facilitates predictions of riverine [Formula: see text] emissions globally using widely accessible chemical and hydromorphological datasets and thus, quantifies the effect of human activity and natural processes on [Formula: see text] production.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Israel 1 <1%
Argentina 1 <1%
Unknown 146 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 44 30%
Researcher 19 13%
Student > Master 12 8%
Student > Doctoral Student 11 7%
Professor 10 7%
Other 17 11%
Unknown 36 24%
Readers by discipline
Readers by discipline Count As %
Environmental Science 49 33%
Earth and Planetary Sciences 17 11%
Engineering 14 9%
Agricultural and Biological Sciences 12 8%
Medicine and Dentistry 3 2%
Other 10 7%
Unknown 44 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 28 April 2017.
All research outputs
#1,277,402
of 34,372,222 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#17,962
of 118,931 outputs
Outputs of similar age
#19,347
of 354,605 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#300
of 886 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 118,931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one has done well, scoring higher than 84% 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 354,605 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 886 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 66% of its contemporaries.