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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Distributed Differential Privacy via Shuffling
|
|---|---|
| Chapter number | 13 |
| Book title |
Advances in Cryptology – EUROCRYPT 2019
|
| Published in |
arXiv, April 2019
|
| DOI | 10.1007/978-3-030-17653-2_13 |
| Book ISBNs |
978-3-03-017652-5, 978-3-03-017653-2
|
| Authors |
Albert Cheu, Adam Smith, Jonathan Ullman, David Zeber, Maxim Zhilyaev |
X Demographics
The data shown below were collected from the profiles of 6 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 States | 2 | 33% |
| Brazil | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 121 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 27% |
| Student > Master | 15 | 12% |
| Researcher | 11 | 9% |
| Student > Bachelor | 10 | 8% |
| Student > Doctoral Student | 3 | 2% |
| Other | 12 | 10% |
| Unknown | 37 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 62 | 51% |
| Engineering | 8 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Mathematics | 2 | 2% |
| Business, Management and Accounting | 2 | 2% |
| Other | 6 | 5% |
| Unknown | 39 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 May 2021.
All research outputs
#7,978,368
of 24,002,307 outputs
Outputs from arXiv
#179,570
of 1,011,770 outputs
Outputs of similar age
#142,065
of 354,035 outputs
Outputs of similar age from arXiv
#5,754
of 27,743 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 81% 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 354,035 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 54% of its contemporaries.
We're also able to compare this research output to 27,743 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.