You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Chapter title |
Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab
|
|---|---|
| Chapter number | 6 |
| Book title |
Financial Cryptography and Data Security
|
| Published in |
Lecture notes in computer science, August 2016
|
| DOI | 10.1007/978-3-662-53357-4_6 |
| Book ISBNs |
978-3-66-253356-7, 978-3-66-253357-4
|
| Authors |
Kevin Delmolino, Mitchell Arnett, Ahmed Kosba, Andrew Miller, Elaine Shi, Delmolino, Kevin, Arnett, Mitchell, Kosba, Ahmed, Miller, Andrew, Shi, Elaine |
| Editors |
Jeremy Clark, Sarah Meiklejohn, Peter Y.A. Ryan, Dan Wallach, Michael Brenner, Kurt Rohloff |
Mendeley readers
The data shown below were compiled from readership statistics for 651 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Indonesia | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 646 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 153 | 24% |
| Student > Ph. D. Student | 108 | 17% |
| Researcher | 77 | 12% |
| Student > Bachelor | 76 | 12% |
| Student > Doctoral Student | 29 | 4% |
| Other | 77 | 12% |
| Unknown | 131 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 278 | 43% |
| Business, Management and Accounting | 57 | 9% |
| Engineering | 49 | 8% |
| Economics, Econometrics and Finance | 44 | 7% |
| Social Sciences | 23 | 4% |
| Other | 40 | 6% |
| Unknown | 160 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. 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 12 December 2017.
All research outputs
#619,292
of 22,914,829 outputs
Outputs from Lecture notes in computer science
#60
of 8,129 outputs
Outputs of similar age
#13,322
of 337,519 outputs
Outputs of similar age from Lecture notes in computer science
#8
of 486 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 337,519 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 486 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 98% of its contemporaries.