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A parallel bio-inspried shortest path algorithm

Overview of attention for article published in Computing, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 237)
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

twitter
21 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
10 Mendeley
Title
A parallel bio-inspried shortest path algorithm
Published in
Computing, May 2018
DOI 10.1007/s00607-018-0621-x
Authors

Hilal Arslan, Murat Manguoglu

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 10%
Lecturer 1 10%
Student > Doctoral Student 1 10%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Other 1 10%
Unknown 4 40%
Readers by discipline Count As %
Computer Science 3 30%
Engineering 2 20%
Decision Sciences 1 10%
Unknown 4 40%
Attention Score in Context

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 31 May 2018.
All research outputs
#2,179,017
of 24,696,958 outputs
Outputs from Computing
#9
of 237 outputs
Outputs of similar age
#45,218
of 331,398 outputs
Outputs of similar age from Computing
#2
of 2 outputs
Altmetric has tracked 24,696,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 237 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 96% 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 331,398 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.