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Assessment of Floodplain Vulnerability during Extreme Mississippi River Flood 2011

Overview of attention for article published in Environmental Science & Technology, February 2014
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
2 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Assessment of Floodplain Vulnerability during Extreme Mississippi River Flood 2011
Published in
Environmental Science & Technology, February 2014
DOI 10.1021/es404760t
Pubmed ID
Authors

Allison E. Goodwell, Zhenduo Zhu, Debsunder Dutta, Jonathan A. Greenberg, Praveen Kumar, Marcelo H. Garcia, Bruce L. Rhoads, Robert R. Holmes, Gary Parker, David P. Berretta, Robert B. Jacobson

Abstract

Regional change in the variability and magnitude of flooding could be a major consequence of future global climate change. Extreme floods have the capacity to rapidly transform landscapes and expose landscape vulnerabilities through highly variable spatial patterns of inundation, erosion, and deposition. We use the historic activation of the Birds Point-New Madrid Floodway during the Mississippi and Ohio River Flooding of 2011 as a scientifically unique stress experiment to analyze indicators of floodplain vulnerability. We use pre- and postflood airborne Light Detection and Ranging data sets to locate erosional and depositional hotspots over the 540 km(2) agricultural Floodway. While riparian vegetation between the river and the main levee breach likely prevented widespread deposition, localized scour and deposition occurred near the levee breaches. Eroded gullies nearly 1 km in length were observed at a low ridge of a relict meander scar of the Mississippi River. Our flow modeling and spatial mapping analysis attributes this vulnerability to a combination of erodible soils, flow acceleration associated with legacy fluvial landforms, and a lack of woody vegetation to anchor soil and enhance flow resistance. Results from this study could guide future mitigation and adaptation measures in cases of extreme flooding.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 28%
Student > Master 8 25%
Professor > Associate Professor 4 13%
Researcher 3 9%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 4 13%
Readers by discipline Count As %
Engineering 10 31%
Earth and Planetary Sciences 7 22%
Environmental Science 6 19%
Social Sciences 2 6%
Computer Science 1 3%
Other 2 6%
Unknown 4 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 19 February 2014.
All research outputs
#65,464
of 4,508,612 outputs
Outputs from Environmental Science & Technology
#152
of 4,705 outputs
Outputs of similar age
#3,677
of 111,974 outputs
Outputs of similar age from Environmental Science & Technology
#14
of 220 outputs
Altmetric has tracked 4,508,612 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,705 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 96% 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 111,974 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 96% of its contemporaries.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.