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ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities

Overview of attention for article published in Cybersecurity, July 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
3 tweeters

Readers on

mendeley
5 Mendeley
Title
ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities
Published in
Cybersecurity, July 2021
DOI 10.1186/s42400-021-00091-9
Authors

Yu Zhang, Wei Huo, Kunpeng Jian, Ji Shi, Longquan Liu, Yanyan Zou, Chao Zhang, Baoxu Liu

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 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 %
Professor 1 20%
Student > Bachelor 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 2 40%
Unknown 3 60%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 September 2021.
All research outputs
#11,322,053
of 18,990,581 outputs
Outputs from Cybersecurity
#20
of 32 outputs
Outputs of similar age
#86,506
of 191,935 outputs
Outputs of similar age from Cybersecurity
#1
of 1 outputs
Altmetric has tracked 18,990,581 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32 research outputs from this source. They receive a mean Attention Score of 3.6. This one scored the same or higher as 12 of them.
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 191,935 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 53% of its contemporaries.
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