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DBkWik: extracting and integrating knowledge from thousands of Wikis

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

  • Among the highest-scoring outputs from this source (#26 of 304)
  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
5 tweeters

Readers on

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

Hertling, Sven, Paulheim, Heiko

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 100%
Readers by discipline Count As %
Social Sciences 1 100%

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
#3,576,220
of 13,989,129 outputs
Outputs from Knowledge & Information Systems
#26
of 304 outputs
Outputs of similar age
#90,713
of 273,407 outputs
Outputs of similar age from Knowledge & Information Systems
#1
of 9 outputs
Altmetric has tracked 13,989,129 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 304 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done particularly well, scoring higher than 91% 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 273,407 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 66% of its contemporaries.
We're also able to compare this research output to 9 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