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Data Science and Internet of Things

Overview of attention for book
Data Science and Internet of Things
Springer International Publishing
Attention for Chapter: Graph and Network Theory for the Analysis of Criminal Networks
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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 (70th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
14 Mendeley
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Chapter title
Graph and Network Theory for the Analysis of Criminal Networks
Book title
Data Science and Internet of Things
Published in
arXiv, February 2021
DOI 10.1007/978-3-030-67197-6_8
Book ISBNs
978-3-03-067196-9, 978-3-03-067197-6
Authors

Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, Antonio Liotta

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 29%
Student > Ph. D. Student 3 21%
Lecturer 1 7%
Other 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Computer Science 4 29%
Engineering 3 21%
Social Sciences 2 14%
Business, Management and Accounting 1 7%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 March 2021.
All research outputs
#6,391,134
of 25,888,937 outputs
Outputs from arXiv
#100,269
of 953,072 outputs
Outputs of similar age
#135,652
of 456,956 outputs
Outputs of similar age from arXiv
#2,730
of 24,543 outputs
Altmetric has tracked 25,888,937 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 953,072 research outputs from this source. They receive a mean Attention Score of 4.2. 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 456,956 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 24,543 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.