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X Demographics
Mendeley readers
Attention Score in Context
| 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, Grishchenko, Ilya, Maffei, Matteo, Schneidewind, Clara |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 2 | 12% |
| United Kingdom | 1 | 6% |
| Unknown | 14 | 82% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 94% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 210 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 46 | 22% |
| Student > Ph. D. Student | 23 | 11% |
| Student > Bachelor | 20 | 10% |
| Researcher | 19 | 9% |
| Student > Doctoral Student | 7 | 3% |
| Other | 23 | 11% |
| Unknown | 72 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 94 | 45% |
| Engineering | 17 | 8% |
| Business, Management and Accounting | 9 | 4% |
| Economics, Econometrics and Finance | 3 | 1% |
| Mathematics | 3 | 1% |
| Other | 8 | 4% |
| Unknown | 76 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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
#2,487,287
of 25,932,719 outputs
Outputs from Lecture notes in computer science
#428
of 8,177 outputs
Outputs of similar age
#49,829
of 344,202 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 31 outputs
Altmetric has tracked 25,932,719 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,177 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 94% 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 344,202 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 85% of its contemporaries.
We're also able to compare this research output to 31 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.