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Principles of Security and Trust

Overview of attention for book
Attention for Chapter 10: A Semantic Framework for the Security Analysis of Ethereum Smart Contracts
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
22 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
119 Mendeley
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Chapter title
A Semantic Framework for the Security Analysis of Ethereum Smart Contracts
Chapter number 10
Book title
Principles of Security and Trust
Published in
Lecture notes in computer science, April 2018
DOI 10.1007/978-3-319-89722-6_10
Book ISBNs
978-3-31-989721-9, 978-3-31-989722-6
Authors

Ilya Grishchenko, Matteo Maffei, Clara Schneidewind

Twitter Demographics

The data shown below were collected from the profiles of 22 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 119 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 29%
Student > Ph. D. Student 22 18%
Researcher 14 12%
Student > Bachelor 13 11%
Student > Doctoral Student 3 3%
Other 14 12%
Unknown 19 16%
Readers by discipline Count As %
Computer Science 75 63%
Engineering 7 6%
Business, Management and Accounting 3 3%
Mathematics 2 2%
Economics, Econometrics and Finance 1 <1%
Other 6 5%
Unknown 25 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 28 January 2020.
All research outputs
#1,155,253
of 15,526,302 outputs
Outputs from Lecture notes in computer science
#251
of 7,577 outputs
Outputs of similar age
#35,413
of 277,195 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 5 outputs
Altmetric has tracked 15,526,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,577 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 96% 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 277,195 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 87% of its contemporaries.
We're also able to compare this research output to 5 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