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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

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
49 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

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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Researcher 8 16%
Student > Master 7 14%
Professor 5 10%
Other 4 8%
Other 7 14%
Unknown 8 16%
Readers by discipline Count As %
Environmental Science 14 29%
Agricultural and Biological Sciences 10 20%
Earth and Planetary Sciences 4 8%
Engineering 4 8%
Nursing and Health Professions 2 4%
Other 5 10%
Unknown 10 20%

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
#7,332,029
of 11,768,109 outputs
Outputs from Ecological Modelling
#728
of 1,213 outputs
Outputs of similar age
#151,103
of 264,622 outputs
Outputs of similar age from Ecological Modelling
#14
of 25 outputs
Altmetric has tracked 11,768,109 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,213 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 26th percentile – i.e., 26% 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 264,622 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.