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 |
Composable security of delegated quantum computation
|
|---|---|
| Chapter number | 22 |
| Book title |
Advances in Cryptology – ASIACRYPT 2014
|
| Published in |
arXiv, January 2013
|
| DOI | 10.1007/978-3-662-45608-8_22 |
| Book ISBNs |
978-3-66-245607-1, 978-3-66-245608-8
|
| Authors |
Vedran Dunjko, Joseph F. Fitzsimons, Christopher Portmann, Renato Renner |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 2% |
| Singapore | 1 | 2% |
| Switzerland | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 52 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 34% |
| Researcher | 9 | 16% |
| Student > Master | 7 | 13% |
| Student > Postgraduate | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 41% |
| Physics and Astronomy | 18 | 32% |
| Engineering | 3 | 5% |
| Mathematics | 2 | 4% |
| Materials Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 8 | 14% |
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 20 June 2017.
All research outputs
#17,899,796
of 22,981,247 outputs
Outputs from arXiv
#441,941
of 943,169 outputs
Outputs of similar age
#214,781
of 286,361 outputs
Outputs of similar age from arXiv
#1,832
of 5,407 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 943,169 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 43rd percentile – i.e., 43% 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 286,361 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,407 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.