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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Blockchain-Based Scheme for Access Control in e-Health Scenarios
|
|---|---|
| Chapter number | 24 |
| Book title |
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018)
|
| Published in |
arXiv, December 2018
|
| DOI | 10.1007/978-3-030-17065-3_24 |
| Book ISBNs |
978-3-03-017064-6, 978-3-03-017065-3
|
| Authors |
João Pedro Dias, Luís Reis, Hugo Sereno Ferreira, Ângelo Martins, Dias, João Pedro, Sereno Ferreira, Hugo, Martins, Ângelo |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
| United Kingdom | 2 | 15% |
| China | 1 | 8% |
| Portugal | 1 | 8% |
| Brazil | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 20 | 20% |
| Student > Ph. D. Student | 17 | 17% |
| Student > Master | 15 | 15% |
| Professor > Associate Professor | 5 | 5% |
| Other | 4 | 4% |
| Other | 13 | 13% |
| Unknown | 28 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 47 | 46% |
| Engineering | 12 | 12% |
| Business, Management and Accounting | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 37 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 17 November 2021.
All research outputs
#3,678,073
of 25,330,051 outputs
Outputs from arXiv
#65,902
of 1,034,613 outputs
Outputs of similar age
#78,404
of 450,051 outputs
Outputs of similar age from arXiv
#1,620
of 23,579 outputs
Altmetric has tracked 25,330,051 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,034,613 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 93% 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 450,051 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 23,579 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 93% of its contemporaries.