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Application of the FluEgg model to predict transport of Asian carp eggs in the Saint Joseph River (Great Lakes tributary)

Overview of attention for article published in Journal of Great Lakes Research, June 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 1,672)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
6 news outlets
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
63 Mendeley
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Title
Application of the FluEgg model to predict transport of Asian carp eggs in the Saint Joseph River (Great Lakes tributary)
Published in
Journal of Great Lakes Research, June 2015
DOI 10.1016/j.jglr.2015.02.003
Authors

Tatiana Garcia, Elizabeth A. Murphy, P. Ryan Jackson, Marcelo H. Garcia

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

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 24%
Student > Master 10 16%
Student > Ph. D. Student 4 6%
Student > Doctoral Student 2 3%
Other 2 3%
Other 5 8%
Unknown 25 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 24%
Environmental Science 10 16%
Engineering 5 8%
Nursing and Health Professions 2 3%
Earth and Planetary Sciences 2 3%
Other 4 6%
Unknown 25 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 24 April 2015.
All research outputs
#729,286
of 22,799,071 outputs
Outputs from Journal of Great Lakes Research
#26
of 1,672 outputs
Outputs of similar age
#9,491
of 267,527 outputs
Outputs of similar age from Journal of Great Lakes Research
#1
of 35 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 98% 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 267,527 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 35 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 97% of its contemporaries.