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Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing

Overview of attention for article published in Remote Sensing of Environment, April 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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47 Dimensions

Readers on

mendeley
106 Mendeley
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Title
Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing
Published in
Remote Sensing of Environment, April 2020
DOI 10.1016/j.rse.2020.111682
Authors

Xiaohe Zhang, Cédric G. Fichot, Carly Baracco, Ruizhe Guo, Sydney Neugebauer, Zachary Bengtsson, Neil Ganju, Sergio Fagherazzi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Student > Master 14 13%
Researcher 10 9%
Student > Bachelor 5 5%
Other 5 5%
Other 15 14%
Unknown 33 31%
Readers by discipline Count As %
Environmental Science 16 15%
Earth and Planetary Sciences 15 14%
Engineering 13 12%
Agricultural and Biological Sciences 6 6%
Computer Science 5 5%
Other 11 10%
Unknown 40 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 February 2020.
All research outputs
#15,529,011
of 25,387,668 outputs
Outputs from Remote Sensing of Environment
#2,893
of 3,694 outputs
Outputs of similar age
#215,851
of 396,814 outputs
Outputs of similar age from Remote Sensing of Environment
#54
of 69 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,694 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 20th percentile – i.e., 20% 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 396,814 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.