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The (black) art of runtime evaluation: Are we comparing algorithms or implementations?

Overview of attention for article published in Knowledge and Information Systems, October 2016
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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 (#7 of 614)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

policy
1 policy source
twitter
11 X users
wikipedia
10 Wikipedia pages

Citations

dimensions_citation
158 Dimensions

Readers on

mendeley
168 Mendeley
citeulike
1 CiteULike
Title
The (black) art of runtime evaluation: Are we comparing algorithms or implementations?
Published in
Knowledge and Information Systems, October 2016
DOI 10.1007/s10115-016-1004-2
Authors

Hans-Peter Kriegel, Erich Schubert, Arthur Zimek

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Fiji 1 <1%
Unknown 167 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 24%
Student > Master 34 20%
Student > Bachelor 16 10%
Researcher 14 8%
Student > Doctoral Student 7 4%
Other 20 12%
Unknown 37 22%
Readers by discipline Count As %
Computer Science 56 33%
Engineering 26 15%
Mathematics 8 5%
Physics and Astronomy 5 3%
Biochemistry, Genetics and Molecular Biology 5 3%
Other 23 14%
Unknown 45 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 30 September 2023.
All research outputs
#2,219,256
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#7
of 614 outputs
Outputs of similar age
#39,461
of 318,231 outputs
Outputs of similar age from Knowledge and Information Systems
#2
of 6 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done particularly well, scoring higher than 98% 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 318,231 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 87% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.