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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Symmetric Private Polynomial Computation From Lagrange Encoding
|
|---|---|
| Published in |
IEEE Transactions on Information Theory, January 2022
|
| DOI | 10.1109/tit.2022.3140890 |
| Authors |
Jinbao Zhu, Qifa Yan, Xiaohu Tang, Songze Li |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 20% |
| Professor > Associate Professor | 1 | 20% |
| Student > Bachelor | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 20% |
| Computer Science | 1 | 20% |
| Engineering | 1 | 20% |
| Unknown | 2 | 40% |
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 06 January 2022.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from IEEE Transactions on Information Theory
#3,815
of 4,175 outputs
Outputs of similar age
#440,417
of 515,736 outputs
Outputs of similar age from IEEE Transactions on Information Theory
#35
of 124 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,175 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% 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 515,736 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.