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BirdFlow: Learning seasonal bird movements from eBird data

Overview of attention for article published in Methods in Ecology and Evolution, January 2023
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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 (#30 of 2,463)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
21 news outlets
blogs
1 blog
twitter
18 X users
peer_reviews
1 peer review site
facebook
3 Facebook pages

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
44 Mendeley
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Title
BirdFlow: Learning seasonal bird movements from eBird data
Published in
Methods in Ecology and Evolution, January 2023
DOI 10.1111/2041-210x.14052
Authors

Miguel Fuentes, Benjamin M. Van Doren, Daniel Fink, Daniel Sheldon

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Researcher 7 16%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 6 14%
Unknown 12 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 32%
Environmental Science 12 27%
Biochemistry, Genetics and Molecular Biology 1 2%
Computer Science 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 14 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 178. 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 19 May 2023.
All research outputs
#230,880
of 25,738,558 outputs
Outputs from Methods in Ecology and Evolution
#30
of 2,463 outputs
Outputs of similar age
#5,847
of 476,822 outputs
Outputs of similar age from Methods in Ecology and Evolution
#1
of 50 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,463 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.0. 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 476,822 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 98% of its contemporaries.
We're also able to compare this research output to 50 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 98% of its contemporaries.