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The Semantic Web – ISWC 2020

Overview of attention for book
The Semantic Web – ISWC 2020
Springer International Publishing
Attention for Chapter: AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
14 X users

Citations

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2 Dimensions

Readers on

mendeley
76 Mendeley
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Chapter title
AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence
Book title
The Semantic Web – ISWC 2020
Published in
Lecture notes in computer science, November 2020
DOI 10.1007/978-3-030-62466-8_9
Book ISBNs
978-3-03-062465-1, 978-3-03-062466-8
Authors

Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta, Harald Sack, Dessì, Danilo, Osborne, Francesco, Reforgiato Recupero, Diego, Buscaldi, Davide, Motta, Enrico, Sack, Harald

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Researcher 8 11%
Student > Doctoral Student 7 9%
Student > Master 7 9%
Lecturer 3 4%
Other 11 14%
Unknown 25 33%
Readers by discipline Count As %
Computer Science 35 46%
Engineering 5 7%
Business, Management and Accounting 3 4%
Agricultural and Biological Sciences 2 3%
Social Sciences 2 3%
Other 2 3%
Unknown 27 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 12 February 2021.
All research outputs
#3,815,738
of 23,577,761 outputs
Outputs from Lecture notes in computer science
#866
of 8,143 outputs
Outputs of similar age
#92,889
of 422,322 outputs
Outputs of similar age from Lecture notes in computer science
#2
of 22 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,143 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 well, scoring higher than 89% 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 422,322 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 77% of its contemporaries.
We're also able to compare this research output to 22 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 90% of its contemporaries.