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DBkWik: extracting and integrating knowledge from thousands of Wikis

Overview of attention for article published in Knowledge and Information Systems, November 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
13 Mendeley
Title
DBkWik: extracting and integrating knowledge from thousands of Wikis
Published in
Knowledge and Information Systems, November 2019
DOI 10.1007/s10115-019-01415-5
Authors

Sven Hertling, Heiko Paulheim

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 23%
Student > Ph. D. Student 3 23%
Student > Master 2 15%
Lecturer 1 8%
Researcher 1 8%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Computer Science 8 62%
Unspecified 1 8%
Social Sciences 1 8%
Unknown 3 23%
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 06 November 2019.
All research outputs
#6,580,316
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#60
of 614 outputs
Outputs of similar age
#119,351
of 366,151 outputs
Outputs of similar age from Knowledge and Information Systems
#1
of 2 outputs
Altmetric has tracked 23,849,058 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 614 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done particularly well, scoring higher than 90% 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 366,151 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 67% 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. This one has scored higher than all of them