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ITEA—interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data

Overview of attention for article published in The Visual Computer, May 2016
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Mentioned by

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1 Facebook page

Citations

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5 Dimensions

Readers on

mendeley
15 Mendeley
Title
ITEA—interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data
Published in
The Visual Computer, May 2016
DOI 10.1007/s00371-016-1255-7
Authors

Lena Cibulski, Denis Gračanin, Alexandra Diehl, Rainer Splechtna, Mai Elshehaly, Claudio Delrieux, Krešimir Matković

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Professor > Associate Professor 2 13%
Professor 2 13%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Other 4 27%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 11 73%
Business, Management and Accounting 1 7%
Unknown 3 20%
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 09 January 2017.
All research outputs
#21,164,509
of 23,815,455 outputs
Outputs from The Visual Computer
#742
of 1,264 outputs
Outputs of similar age
#261,815
of 306,979 outputs
Outputs of similar age from The Visual Computer
#10
of 13 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,264 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 1st percentile – i.e., 1% 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 306,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.