You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Quantum Fully Homomorphic Encryption with Verification
|
|---|---|
| Chapter number | 16 |
| Book title |
Advances in Cryptology – ASIACRYPT 2017
|
| Published in |
arXiv, December 2017
|
| DOI | 10.1007/978-3-319-70694-8_16 |
| Book ISBNs |
978-3-31-970693-1, 978-3-31-970694-8
|
| Authors |
Gorjan Alagic, Yfke Dulek, Christian Schaffner, Florian Speelman, Alagic, Gorjan, Dulek, Yfke, Schaffner, Christian, Speelman, Florian |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 31% |
| Student > Master | 7 | 14% |
| Researcher | 7 | 14% |
| Student > Postgraduate | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 51% |
| Physics and Astronomy | 7 | 14% |
| Mathematics | 4 | 8% |
| Engineering | 1 | 2% |
| Design | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 12 | 24% |
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 26 April 2023.
All research outputs
#4,270,696
of 24,137,933 outputs
Outputs from arXiv
#85,723
of 1,023,006 outputs
Outputs of similar age
#87,154
of 446,604 outputs
Outputs of similar age from arXiv
#1,953
of 21,982 outputs
Altmetric has tracked 24,137,933 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 1,023,006 research outputs from this source. They receive a mean Attention Score of 4.0. 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 446,604 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 80% of its contemporaries.
We're also able to compare this research output to 21,982 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 91% of its contemporaries.