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Principles of Security and Trust

Overview of attention for book
Attention for Chapter 11: Tool Demonstration: FSolidM for Designing Secure Ethereum Smart Contracts
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
65 Mendeley
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Chapter title
Tool Demonstration: FSolidM for Designing Secure Ethereum Smart Contracts
Chapter number 11
Book title
Principles of Security and Trust
Published in
Lecture notes in computer science, April 2018
DOI 10.1007/978-3-319-89722-6_11
Book ISBNs
978-3-31-989721-9, 978-3-31-989722-6
Authors

Anastasia Mavridou, Aron Laszka, Mavridou, Anastasia, Laszka, Aron

Twitter Demographics

The data shown below were collected from the profiles of 2 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 42%
Student > Ph. D. Student 11 17%
Researcher 4 6%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 8 12%
Unknown 9 14%
Readers by discipline Count As %
Computer Science 41 63%
Engineering 5 8%
Social Sciences 2 3%
Decision Sciences 1 2%
Unspecified 1 2%
Other 4 6%
Unknown 11 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 May 2018.
All research outputs
#7,025,071
of 12,980,672 outputs
Outputs from Lecture notes in computer science
#3,355
of 7,348 outputs
Outputs of similar age
#123,057
of 270,602 outputs
Outputs of similar age from Lecture notes in computer science
#9
of 24 outputs
Altmetric has tracked 12,980,672 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,348 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 52% 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 270,602 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 52% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.