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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Evaluation of Logic-Based Smart Contracts for Blockchain Systems
|
|---|---|
| Chapter number | 11 |
| 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_11 |
| Book ISBNs |
978-3-31-942018-9, 978-3-31-942019-6
|
| Authors |
Florian Idelberger, Guido Governatori, Régis Riveret, Giovanni Sartor, Idelberger, Florian, Governatori, Guido, Riveret, Régis, Sartor, Giovanni |
| Editors |
Jose Julio Alferes, Leopoldo Bertossi, Guido Governatori, Paul Fodor, Dumitru Roman |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 327 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 324 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 75 | 23% |
| Student > Ph. D. Student | 67 | 20% |
| Researcher | 32 | 10% |
| Student > Bachelor | 31 | 9% |
| Student > Doctoral Student | 14 | 4% |
| Other | 44 | 13% |
| Unknown | 64 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 148 | 45% |
| Business, Management and Accounting | 36 | 11% |
| Engineering | 24 | 7% |
| Social Sciences | 14 | 4% |
| Economics, Econometrics and Finance | 14 | 4% |
| Other | 16 | 5% |
| Unknown | 75 | 23% |
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 04 July 2023.
All research outputs
#7,500,039
of 24,180,797 outputs
Outputs from Lecture notes in computer science
#2,312
of 8,180 outputs
Outputs of similar age
#117,866
of 357,908 outputs
Outputs of similar age from Lecture notes in computer science
#104
of 385 outputs
Altmetric has tracked 24,180,797 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,180 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 70% 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 357,908 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 66% of its contemporaries.
We're also able to compare this research output to 385 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 72% of its contemporaries.