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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Token-Based Insurance Solutions on Blockchain
|
|---|---|
| Chapter number | 9 |
| Book title |
Blockchains and the Token Economy
|
| Published in |
arXiv, August 2022
|
| DOI | 10.1007/978-3-030-95108-5_9 |
| Book ISBNs |
978-3-03-095107-8, 978-3-03-095108-5
|
| Authors |
Simon Cousaert, Nikhil Vadgama, Jiahua Xu, Cousaert, Simon, Vadgama, Nikhil, Xu, Jiahua |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 38% |
| United States | 1 | 13% |
| Belgium | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Professor | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 11 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 26% |
| Economics, Econometrics and Finance | 2 | 9% |
| Business, Management and Accounting | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 12 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 15 March 2023.
All research outputs
#7,504,712
of 26,374,136 outputs
Outputs from arXiv
#126,263
of 989,643 outputs
Outputs of similar age
#131,619
of 438,530 outputs
Outputs of similar age from arXiv
#3,122
of 27,182 outputs
Altmetric has tracked 26,374,136 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 989,643 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 87% 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 438,530 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 69% of its contemporaries.
We're also able to compare this research output to 27,182 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.