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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Good, The Bad and The Ugly: Pitfalls and Best Practices in Automated Sound Static Analysis of Ethereum Smart Contracts
|
|---|---|
| Chapter number | 14 |
| Book title |
Leveraging Applications of Formal Methods, Verification and Validation: Applications
|
| Published in |
arXiv, October 2020
|
| DOI | 10.1007/978-3-030-61467-6_14 |
| Book ISBNs |
978-3-03-061466-9, 978-3-03-061467-6
|
| Authors |
Clara Schneidewind, Markus Scherer, Matteo Maffei, Schneidewind, Clara, Scherer, Markus, Maffei, Matteo |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 33% |
| United Kingdom | 2 | 22% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 33% |
| Student > Master | 3 | 20% |
| Student > Bachelor | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 40% |
| Engineering | 4 | 27% |
| Social Sciences | 1 | 7% |
| Unknown | 4 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 19 July 2021.
All research outputs
#8,273,071
of 25,400,630 outputs
Outputs from arXiv
#146,295
of 916,765 outputs
Outputs of similar age
#173,289
of 440,209 outputs
Outputs of similar age from arXiv
#4,509
of 26,767 outputs
Altmetric has tracked 25,400,630 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 916,765 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 83% 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 440,209 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 60% of its contemporaries.
We're also able to compare this research output to 26,767 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.