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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

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
51 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Student > Master 7 14%
Student > Bachelor 5 10%
Researcher 5 10%
Student > Doctoral Student 4 8%
Other 12 24%
Unknown 7 14%
Readers by discipline Count As %
Engineering 17 33%
Computer Science 6 12%
Earth and Planetary Sciences 6 12%
Agricultural and Biological Sciences 4 8%
Environmental Science 3 6%
Other 7 14%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 June 2020.
All research outputs
#6,986,700
of 25,732,188 outputs
Outputs from International Journal of Geographical Information Science
#169
of 823 outputs
Outputs of similar age
#144,185
of 422,495 outputs
Outputs of similar age from International Journal of Geographical Information Science
#7
of 20 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 823 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 79% 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 422,495 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.