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The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration

Overview of attention for article published in International Journal of Geographical Information Science, June 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 765)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
50 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
50 Mendeley
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Title
The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration
Published in
International Journal of Geographical Information Science, June 2020
DOI 10.1080/13658816.2020.1776293
Authors

Anita Graser, Peter Widhalm, Melitta Dragaschnig

Twitter Demographics

The data shown below were collected from the profiles of 50 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Student > Master 6 12%
Student > Bachelor 5 10%
Researcher 5 10%
Student > Doctoral Student 4 8%
Other 13 26%
Unknown 6 12%
Readers by discipline Count As %
Engineering 17 34%
Computer Science 7 14%
Earth and Planetary Sciences 5 10%
Agricultural and Biological Sciences 4 8%
Environmental Science 3 6%
Other 7 14%
Unknown 7 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 27 June 2020.
All research outputs
#917,674
of 22,592,847 outputs
Outputs from International Journal of Geographical Information Science
#9
of 765 outputs
Outputs of similar age
#20,721
of 260,966 outputs
Outputs of similar age from International Journal of Geographical Information Science
#1
of 8 outputs
Altmetric has tracked 22,592,847 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 765 research outputs from this source. They receive a mean Attention Score of 4.5. 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 260,966 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 92% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them