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Algorithm Engineering

Overview of attention for book
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 X users
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Algorithm Engineering
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-49487-6
ISBNs
978-3-31-949486-9, 978-3-31-949487-6
Editors

Lasse Kliemann, Peter Sanders

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 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 > Master 4 27%
Student > Ph. D. Student 3 20%
Lecturer > Senior Lecturer 1 7%
Student > Bachelor 1 7%
Lecturer 1 7%
Other 2 13%
Unknown 3 20%
Readers by discipline Count As %
Computer Science 6 40%
Engineering 5 33%
Psychology 1 7%
Unknown 3 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 May 2021.
All research outputs
#6,198,467
of 22,959,818 outputs
Outputs from Lecture notes in computer science
#2,022
of 8,134 outputs
Outputs of similar age
#98,705
of 394,315 outputs
Outputs of similar age from Lecture notes in computer science
#227
of 582 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,134 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 74% 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 394,315 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 74% of its contemporaries.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.