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A coupled metabolic-hydraulic model and calibration scheme for estimating whole-river metabolism during dynamic flow conditions

Overview of attention for article published in Limnology and Oceanography: Methods, September 2017
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Mentioned by

twitter
1 tweeter

Citations

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2 Dimensions

Readers on

mendeley
26 Mendeley
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Title
A coupled metabolic-hydraulic model and calibration scheme for estimating whole-river metabolism during dynamic flow conditions
Published in
Limnology and Oceanography: Methods, September 2017
DOI 10.1002/lom3.10204
Authors

R. A. Payn, R. O. Hall, T. A. Kennedy, G. C. Poole, L. A. Marshall

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Researcher 6 23%
Student > Master 5 19%
Unspecified 3 12%
Professor > Associate Professor 3 12%
Other 1 4%
Readers by discipline Count As %
Environmental Science 13 50%
Agricultural and Biological Sciences 5 19%
Unspecified 3 12%
Earth and Planetary Sciences 2 8%
Engineering 2 8%
Other 1 4%

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 29 September 2017.
All research outputs
#12,055,209
of 13,597,333 outputs
Outputs from Limnology and Oceanography: Methods
#214
of 237 outputs
Outputs of similar age
#269,159
of 316,359 outputs
Outputs of similar age from Limnology and Oceanography: Methods
#9
of 10 outputs
Altmetric has tracked 13,597,333 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 237 research outputs from this source. They receive a mean Attention Score of 4.6. 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 316,359 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 10 others from the same source and published within six weeks on either side of this one.