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Predicting the impacts of Mississippi River diversions and sea-level rise on spatial patterns of eastern oyster growth rate and production

Overview of attention for article published in Ecological Modelling, May 2017
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user

Citations

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22 Dimensions

Readers on

mendeley
71 Mendeley
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Title
Predicting the impacts of Mississippi River diversions and sea-level rise on spatial patterns of eastern oyster growth rate and production
Published in
Ecological Modelling, May 2017
DOI 10.1016/j.ecolmodel.2017.02.028
Authors

Hongqing Wang, Qin Chen, Megan K. La Peyre, Kelin Hu, Jerome F. La Peyre

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 15%
Researcher 10 14%
Student > Master 9 13%
Professor 7 10%
Other 5 7%
Other 9 13%
Unknown 20 28%
Readers by discipline Count As %
Environmental Science 13 18%
Agricultural and Biological Sciences 12 17%
Earth and Planetary Sciences 8 11%
Engineering 6 8%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 9 13%
Unknown 21 30%
Attention Score in Context

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 14 September 2017.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from Ecological Modelling
#1,652
of 2,343 outputs
Outputs of similar age
#206,650
of 324,557 outputs
Outputs of similar age from Ecological Modelling
#17
of 32 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,343 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 19th percentile – i.e., 19% 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 324,557 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.