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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Using Trusted Execution Environments for Secure Stream Processing of Medical Data
|
|---|---|
| Chapter number | 6 |
| Book title |
Distributed Applications and Interoperable Systems
|
| Published in |
arXiv, June 2019
|
| DOI | 10.1007/978-3-030-22496-7_6 |
| Book ISBNs |
978-3-03-022495-0, 978-3-03-022496-7
|
| Authors |
Carlos Segarra, Ricard Delgado-Gonzalo, Mathieu Lemay, Pierre-Louis Aublin, Peter Pietzuch, Valerio Schiavoni |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 3 | 33% |
| Sweden | 1 | 11% |
| Spain | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 26% |
| Student > Ph. D. Student | 7 | 21% |
| Researcher | 5 | 15% |
| Student > Bachelor | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 41% |
| Engineering | 6 | 18% |
| Business, Management and Accounting | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Unknown | 12 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 21 June 2019.
All research outputs
#4,017,244
of 23,150,406 outputs
Outputs from arXiv
#80,835
of 952,359 outputs
Outputs of similar age
#80,214
of 351,696 outputs
Outputs of similar age from arXiv
#2,793
of 28,764 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 952,359 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 91% 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 351,696 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 77% of its contemporaries.
We're also able to compare this research output to 28,764 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 90% of its contemporaries.