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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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3 X users

Citations

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56 Dimensions

Readers on

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152 Mendeley
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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

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 152 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%
Norway 1 <1%
Australia 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Germany 1 <1%
Finland 1 <1%
Mexico 1 <1%
Other 1 <1%
Unknown 132 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 29%
Student > Ph. D. Student 42 28%
Student > Master 12 8%
Student > Bachelor 6 4%
Other 6 4%
Other 22 14%
Unknown 20 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 78 51%
Environmental Science 29 19%
Mathematics 10 7%
Computer Science 4 3%
Earth and Planetary Sciences 3 2%
Other 5 3%
Unknown 23 15%
Attention Score in Context

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
#15,380,722
of 22,881,964 outputs
Outputs from PLOS ONE
#131,326
of 195,159 outputs
Outputs of similar age
#85,611
of 121,057 outputs
Outputs of similar age from PLOS ONE
#1,530
of 2,368 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 195,159 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 24th percentile – i.e., 24% 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 121,057 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,368 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.