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Analysis and visualisation of movement: an interdisciplinary review

Overview of attention for article published in Movement Ecology, March 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 175)
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

twitter
26 tweeters

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
459 Mendeley
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Title
Analysis and visualisation of movement: an interdisciplinary review
Published in
Movement Ecology, March 2015
DOI 10.1186/s40462-015-0032-y
Pubmed ID
Authors

Urška Demšar, Kevin Buchin, Francesca Cagnacci, Kamran Safi, Bettina Speckmann, Nico Van de Weghe, Daniel Weiskopf, Robert Weibel

Abstract

The processes that cause and influence movement are one of the main points of enquiry in movement ecology. However, ecology is not the only discipline interested in movement: a number of information sciences are specialising in analysis and visualisation of movement data. The recent explosion in availability and complexity of movement data has resulted in a call in ecology for new appropriate methods that would be able to take full advantage of the increasingly complex and growing data volume. One way in which this could be done is to form interdisciplinary collaborations between ecologists and experts from information sciences that analyse movement. In this paper we present an overview of new movement analysis and visualisation methodologies resulting from such an interdisciplinary research network: the European COST Action "MOVE - Knowledge Discovery from Moving Objects" (http://www.move-cost.info). This international network evolved over four years and brought together some 140 researchers from different disciplines: those that collect movement data (out of which the movement ecology was the largest represented group) and those that specialise in developing methods for analysis and visualisation of such data (represented in MOVE by computational geometry, geographic information science, visualisation and visual analytics). We present MOVE achievements and at the same time put them in ecological context by exploring relevant ecological themes to which MOVE studies do or potentially could contribute.

Twitter Demographics

The data shown below were collected from the profiles of 26 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 459 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 1%
Spain 5 1%
Switzerland 2 <1%
Canada 2 <1%
Brazil 2 <1%
United States 2 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Ecuador 1 <1%
Other 3 <1%
Unknown 435 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 118 26%
Student > Master 94 20%
Researcher 75 16%
Student > Bachelor 39 8%
Student > Doctoral Student 25 5%
Other 60 13%
Unknown 48 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 177 39%
Environmental Science 96 21%
Computer Science 47 10%
Earth and Planetary Sciences 20 4%
Social Sciences 16 3%
Other 43 9%
Unknown 60 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 04 February 2019.
All research outputs
#1,077,415
of 14,235,868 outputs
Outputs from Movement Ecology
#42
of 175 outputs
Outputs of similar age
#21,055
of 217,150 outputs
Outputs of similar age from Movement Ecology
#1
of 1 outputs
Altmetric has tracked 14,235,868 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 175 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.4. This one has done well, scoring higher than 76% 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 217,150 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 90% of its contemporaries.
We're also able to compare this research output to 1 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