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Identifying the origin of waterbird carcasses in Lake Michigan using a neural network source tracking model

Overview of attention for article published in Journal of Great Lakes Research, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Identifying the origin of waterbird carcasses in Lake Michigan using a neural network source tracking model
Published in
Journal of Great Lakes Research, June 2016
DOI 10.1016/j.jglr.2016.02.014
Authors

Kevin P. Kenow, Zhongfu Ge, Luke J. Fara, Steven C. Houdek, Brian R. Lubinski

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

Geographical breakdown

Country Count As %
Mexico 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Researcher 5 23%
Student > Master 4 18%
Student > Doctoral Student 2 9%
Other 1 5%
Other 2 9%
Unknown 3 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 32%
Environmental Science 3 14%
Engineering 3 14%
Earth and Planetary Sciences 2 9%
Psychology 1 5%
Other 1 5%
Unknown 5 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 20 April 2016.
All research outputs
#1,937,675
of 12,489,036 outputs
Outputs from Journal of Great Lakes Research
#120
of 967 outputs
Outputs of similar age
#54,702
of 266,667 outputs
Outputs of similar age from Journal of Great Lakes Research
#6
of 57 outputs
Altmetric has tracked 12,489,036 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 967 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 87% 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 266,667 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.