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Linked Open Data -- Creating Knowledge Out of Interlinked Data

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

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
63 X users
facebook
3 Facebook pages
wikipedia
1 Wikipedia page
googleplus
2 Google+ users
video
1 YouTube creator

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
90 Mendeley
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Title
Linked Open Data -- Creating Knowledge Out of Interlinked Data
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-09846-3
ISBNs
978-3-31-909845-6, 978-3-31-909846-3, 978-3-31-914656-0
Authors

Sören Auer, Volha Bryl, Sebastian Tramp

Editors

Sören Auer, Volha Bryl, Sebastian Tramp

X Demographics

X Demographics

The data shown below were collected from the profiles of 63 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
Austria 1 1%
Brazil 1 1%
Belgium 1 1%
Spain 1 1%
Luxembourg 1 1%
Unknown 82 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 30%
Student > Master 17 19%
Student > Doctoral Student 10 11%
Librarian 6 7%
Student > Bachelor 6 7%
Other 18 20%
Unknown 6 7%
Readers by discipline Count As %
Computer Science 56 62%
Business, Management and Accounting 6 7%
Social Sciences 5 6%
Earth and Planetary Sciences 3 3%
Linguistics 2 2%
Other 8 9%
Unknown 10 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 10 April 2018.
All research outputs
#685,661
of 24,135,931 outputs
Outputs from Lecture notes in computer science
#72
of 8,182 outputs
Outputs of similar age
#7,476
of 314,504 outputs
Outputs of similar age from Lecture notes in computer science
#7
of 282 outputs
Altmetric has tracked 24,135,931 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,182 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 99% 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 314,504 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 282 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.