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Sediment acoustic index method for computing continuous suspended-sediment concentrations

Overview of attention for article published in US Geological Survey, January 2016
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10 Mendeley
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Title
Sediment acoustic index method for computing continuous suspended-sediment concentrations
Published in
US Geological Survey, January 2016
DOI 10.3133/tm3c5
Authors

Mark N. Landers, Timothy D. Straub, Molly S. Wood, Marian M. Domanski, Landers, Mark N., Straub, Timothy D., Wood, Molly S., Domanski, Marian M.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 50%
Student > Bachelor 2 20%
Student > Master 1 10%
Other 1 10%
Lecturer 1 10%
Other 0 0%
Readers by discipline Count As %
Engineering 4 40%
Environmental Science 3 30%
Unspecified 1 10%
Chemistry 1 10%
Earth and Planetary Sciences 1 10%
Other 0 0%

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 02 August 2016.
All research outputs
#7,058,885
of 8,155,605 outputs
Outputs from US Geological Survey
#520
of 572 outputs
Outputs of similar age
#217,258
of 267,657 outputs
Outputs of similar age from US Geological Survey
#43
of 48 outputs
Altmetric has tracked 8,155,605 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 572 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 267,657 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 48 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.