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DAPP: automatic detection and analysis of prototype pollution vulnerability in Node.js modules

Overview of attention for article published in International Journal of Information Security, February 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 176)
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
11 Mendeley
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Title
DAPP: automatic detection and analysis of prototype pollution vulnerability in Node.js modules
Published in
International Journal of Information Security, February 2021
DOI 10.1007/s10207-020-00537-0
Authors

Hee Yeon Kim, Ji Hoon Kim, Ho Kyun Oh, Beom Jin Lee, Si Woo Mun, Jeong Hoon Shin, Kyounggon Kim

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 18%
Unknown 9 82%
Readers by discipline Count As %
Unspecified 2 18%
Unknown 9 82%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 October 2023.
All research outputs
#4,915,734
of 24,640,106 outputs
Outputs from International Journal of Information Security
#22
of 176 outputs
Outputs of similar age
#131,406
of 527,886 outputs
Outputs of similar age from International Journal of Information Security
#1
of 5 outputs
Altmetric has tracked 24,640,106 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has done well, scoring higher than 88% 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 527,886 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 5 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