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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Blockchain Temporality: Smart Contract Time Specifiability with Blocktime
|
|---|---|
| Chapter number | 12 |
| 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_12 |
| Book ISBNs |
978-3-31-942018-9, 978-3-31-942019-6
|
| Authors |
Melanie Swan |
| 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 States | 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 162 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 | 159 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 33 | 20% |
| Student > Ph. D. Student | 31 | 19% |
| Student > Bachelor | 17 | 10% |
| Researcher | 11 | 7% |
| Student > Doctoral Student | 10 | 6% |
| Other | 27 | 17% |
| Unknown | 33 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 38% |
| Business, Management and Accounting | 24 | 15% |
| Engineering | 16 | 10% |
| Economics, Econometrics and Finance | 8 | 5% |
| Social Sciences | 5 | 3% |
| Other | 12 | 7% |
| Unknown | 35 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 July 2016.
All research outputs
#18,465,704
of 22,880,230 outputs
Outputs from Lecture notes in computer science
#6,015
of 8,130 outputs
Outputs of similar age
#267,054
of 351,572 outputs
Outputs of similar age from Lecture notes in computer science
#260
of 374 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% 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 351,572 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 374 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.