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On the Implausibility of Differing-Inputs Obfuscation and Extractable Witness Encryption with Auxiliary Input

Overview of attention for article published in Algorithmica, January 2017
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Mentioned by

twitter
1 tweeter

Citations

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3 Dimensions

Readers on

mendeley
21 Mendeley
Title
On the Implausibility of Differing-Inputs Obfuscation and Extractable Witness Encryption with Auxiliary Input
Published in
Algorithmica, January 2017
DOI 10.1007/s00453-017-0276-6
Authors

Sanjam Garg, Craig Gentry, Shai Halevi, Daniel Wichs

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 33%
Student > Ph. D. Student 5 24%
Professor > Associate Professor 2 10%
Researcher 2 10%
Other 1 5%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Computer Science 17 81%
Mathematics 2 10%
Unknown 2 10%

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 February 2017.
All research outputs
#6,924,615
of 9,087,585 outputs
Outputs from Algorithmica
#103
of 125 outputs
Outputs of similar age
#187,824
of 255,097 outputs
Outputs of similar age from Algorithmica
#1
of 1 outputs
Altmetric has tracked 9,087,585 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 8th percentile – i.e., 8% 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 255,097 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them