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Blockchain-based secure firmware update for embedded devices in an Internet of Things environment

Overview of attention for article published in The Journal of Supercomputing, September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 543)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
5 X users
patent
17 patents

Citations

dimensions_citation
246 Dimensions

Readers on

mendeley
380 Mendeley
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Title
Blockchain-based secure firmware update for embedded devices in an Internet of Things environment
Published in
The Journal of Supercomputing, September 2016
DOI 10.1007/s11227-016-1870-0
Authors

Boohyung Lee, Jong-Hyouk Lee

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 380 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Thailand 1 <1%
Switzerland 1 <1%
Unknown 377 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 87 23%
Student > Ph. D. Student 67 18%
Student > Bachelor 37 10%
Researcher 26 7%
Student > Doctoral Student 19 5%
Other 56 15%
Unknown 88 23%
Readers by discipline Count As %
Computer Science 181 48%
Engineering 51 13%
Business, Management and Accounting 21 6%
Economics, Econometrics and Finance 6 2%
Social Sciences 4 1%
Other 18 5%
Unknown 99 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 26 March 2024.
All research outputs
#2,447,682
of 23,911,072 outputs
Outputs from The Journal of Supercomputing
#8
of 543 outputs
Outputs of similar age
#42,050
of 326,036 outputs
Outputs of similar age from The Journal of Supercomputing
#1
of 7 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 543 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 98% 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 326,036 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 86% of its contemporaries.
We're also able to compare this research output to 7 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