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Functional suitability assessment of smart contracts: A survey and first proposal

Overview of attention for article published in Journal Of Software: Evolution And Process, November 2023
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2 X users

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5 Mendeley
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Title
Functional suitability assessment of smart contracts: A survey and first proposal
Published in
Journal Of Software: Evolution And Process, November 2023
DOI 10.1002/smr.2636
Authors

Anna Vacca, Michele Fredella, Andrea Di Sorbo, Corrado A. Visaggio, Mario Piattini

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 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%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Unspecified 1 20%
Computer Science 1 20%
Unknown 3 60%
Attention Score in Context

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 27 March 2024.
All research outputs
#20,818,045
of 25,578,098 outputs
Outputs from Journal Of Software: Evolution And Process
#145
of 182 outputs
Outputs of similar age
#252,290
of 359,311 outputs
Outputs of similar age from Journal Of Software: Evolution And Process
#1
of 2 outputs
Altmetric has tracked 25,578,098 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 182 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 12th percentile – i.e., 12% 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 359,311 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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