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Efficient computation of optimal temporal walks under waiting-time constraints

Overview of attention for article published in Applied Network Science, October 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

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21 Dimensions

Readers on

mendeley
3 Mendeley
Title
Efficient computation of optimal temporal walks under waiting-time constraints
Published in
Applied Network Science, October 2020
DOI 10.1007/s41109-020-00311-0
Authors

Matthias Bentert, Anne-Sophie Himmel, André Nichterlein, Rolf Niedermeier

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Computer Science 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 October 2020.
All research outputs
#13,625,985
of 23,245,494 outputs
Outputs from Applied Network Science
#271
of 512 outputs
Outputs of similar age
#203,888
of 414,388 outputs
Outputs of similar age from Applied Network Science
#19
of 38 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 44th percentile – i.e., 44% 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 414,388 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 50% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.