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A System for Probabilistic Linking of Thesauri and Classification Systems

Overview of attention for article published in KI - Künstliche Intelligenz, November 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#37 of 129)
  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
citeulike
1 CiteULike
Title
A System for Probabilistic Linking of Thesauri and Classification Systems
Published in
KI - Künstliche Intelligenz, November 2015
DOI 10.1007/s13218-015-0413-9
Authors

Lisa Posch, Philipp Schaer, Arnim Bleier, Markus Strohmaier

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 %
Researcher 2 67%
Student > Bachelor 1 33%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Computer Science 3 100%
Design 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 March 2016.
All research outputs
#7,505,603
of 23,752,589 outputs
Outputs from KI - Künstliche Intelligenz
#37
of 129 outputs
Outputs of similar age
#115,236
of 390,434 outputs
Outputs of similar age from KI - Künstliche Intelligenz
#5
of 5 outputs
Altmetric has tracked 23,752,589 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 129 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 71% 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 390,434 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 70% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.