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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Setting Standards for Altering and Undoing Smart Contracts
|
|---|---|
| Chapter number | 10 |
| Book title |
Rule Technologies. Research, Tools, and Applications
|
| Published in |
Lecture notes in computer science, June 2016
|
| DOI | 10.1007/978-3-319-42019-6_10 |
| Book ISBNs |
978-3-31-942018-9, 978-3-31-942019-6
|
| Authors |
Bill Marino, Ari Juels |
| Editors |
Jose Julio Alferes, Leopoldo Bertossi, Guido Governatori, Paul Fodor, Dumitru Roman |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 108 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 22% |
| Student > Ph. D. Student | 22 | 20% |
| Researcher | 13 | 12% |
| Student > Bachelor | 7 | 6% |
| Lecturer | 5 | 5% |
| Other | 12 | 11% |
| Unknown | 27 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 47 | 43% |
| Business, Management and Accounting | 11 | 10% |
| Engineering | 7 | 6% |
| Social Sciences | 7 | 6% |
| Mathematics | 2 | 2% |
| Other | 7 | 6% |
| Unknown | 29 | 26% |
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 04 January 2018.
All research outputs
#14,111,272
of 23,381,576 outputs
Outputs from Lecture notes in computer science
#4,169
of 8,155 outputs
Outputs of similar age
#194,680
of 353,431 outputs
Outputs of similar age from Lecture notes in computer science
#158
of 380 outputs
Altmetric has tracked 23,381,576 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,155 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 353,431 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 380 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 55% of its contemporaries.