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Coalescent methods reconstruct contributions of natural colonization and stocking to origins of Michigan inland Cisco (Coregonus artedi)

Overview of attention for article published in Journal of Great Lakes Research, December 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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12 X users

Citations

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2 Dimensions

Readers on

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10 Mendeley
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Title
Coalescent methods reconstruct contributions of natural colonization and stocking to origins of Michigan inland Cisco (Coregonus artedi)
Published in
Journal of Great Lakes Research, December 2021
DOI 10.1016/j.jglr.2021.08.008
Authors

Jared J. Homola, John D. Robinson, Jeannette Kanefsky, Wendylee Stott, Gary E. Whelan, Kim T. Scribner

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 40%
Student > Ph. D. Student 2 20%
Professor 1 10%
Student > Master 1 10%
Student > Doctoral Student 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 40%
Environmental Science 3 30%
Biochemistry, Genetics and Molecular Biology 1 10%
Social Sciences 1 10%
Unknown 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 October 2021.
All research outputs
#3,818,372
of 23,301,510 outputs
Outputs from Journal of Great Lakes Research
#257
of 1,704 outputs
Outputs of similar age
#89,576
of 509,912 outputs
Outputs of similar age from Journal of Great Lakes Research
#19
of 84 outputs
Altmetric has tracked 23,301,510 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 1,704 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 84% 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 509,912 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 82% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.