↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 510)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
56 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 56 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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
#502,884
of 15,880,245 outputs
Outputs from International Journal of Geographical Information Science
#4
of 510 outputs
Outputs of similar age
#18,050
of 295,807 outputs
Outputs of similar age from International Journal of Geographical Information Science
#1
of 9 outputs
Altmetric has tracked 15,880,245 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 510 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 99% 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 295,807 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 93% of its contemporaries.
We're also able to compare this research output to 9 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