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Spatially explicit network analysis reveals multi‐species annual cycle movement patterns of sea ducks

Overview of attention for article published in Ecological Applications, May 2019
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
32 tweeters
facebook
1 Facebook page
f1000
1 research highlight platform

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Spatially explicit network analysis reveals multi‐species annual cycle movement patterns of sea ducks
Published in
Ecological Applications, May 2019
DOI 10.1002/eap.1919
Pubmed ID
Authors

Juliet S. Lamb, Peter W. C. Paton, Jason E. Osenkowski, Shannon S. Badzinski, Alicia M. Berlin, Tim Bowman, Chris Dwyer, Luke J. Fara, Scott G. Gilliland, Kevin Kenow, Christine Lepage, Mark L. Mallory, Glenn H. Olsen, Matthew C. Perry, Scott A. Petrie, Jean‐Pierre L. Savard, Lucas Savoy, Michael Schummer, Caleb S. Spiegel, Scott R. McWilliams

Twitter Demographics

The data shown below were collected from the profiles of 32 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 25%
Student > Master 8 20%
Other 6 15%
Student > Bachelor 4 10%
Student > Ph. D. Student 4 10%
Other 5 13%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 40%
Environmental Science 11 28%
Veterinary Science and Veterinary Medicine 1 3%
Business, Management and Accounting 1 3%
Unspecified 1 3%
Other 4 10%
Unknown 6 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 22 October 2019.
All research outputs
#968,106
of 15,527,070 outputs
Outputs from Ecological Applications
#276
of 2,713 outputs
Outputs of similar age
#27,679
of 266,837 outputs
Outputs of similar age from Ecological Applications
#9
of 44 outputs
Altmetric has tracked 15,527,070 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,713 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 89% 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 266,837 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 89% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.