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Velocity-Based Movement Modeling for Individual and Population Level Inference

Overview of attention for article published in PLoS ONE, August 2011
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Mentioned by

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2 tweeters

Citations

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44 Dimensions

Readers on

mendeley
139 Mendeley
citeulike
1 CiteULike
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Title
Velocity-Based Movement Modeling for Individual and Population Level Inference
Published in
PLoS ONE, August 2011
DOI 10.1371/journal.pone.0022795
Pubmed ID
Authors

Ephraim M. Hanks, Mevin B. Hooten, Devin S. Johnson, Jeremy T. Sterling

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

Geographical breakdown

Country Count As %
United States 10 7%
United Kingdom 2 1%
Brazil 1 <1%
Australia 1 <1%
Norway 1 <1%
Finland 1 <1%
Germany 1 <1%
Canada 1 <1%
Mexico 1 <1%
Other 1 <1%
Unknown 119 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 31%
Student > Ph. D. Student 41 29%
Student > Master 12 9%
Other 6 4%
Student > Bachelor 6 4%
Other 18 13%
Unknown 13 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 53%
Environmental Science 27 19%
Mathematics 11 8%
Computer Science 3 2%
Earth and Planetary Sciences 3 2%
Other 4 3%
Unknown 17 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 August 2016.
All research outputs
#12,345,157
of 15,532,464 outputs
Outputs from PLoS ONE
#116,084
of 155,340 outputs
Outputs of similar age
#189,016
of 266,468 outputs
Outputs of similar age from PLoS ONE
#3,409
of 4,368 outputs
Altmetric has tracked 15,532,464 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 155,340 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 266,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,368 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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