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Implementation of a smart energy meter using blockchain and Internet of Things: A step toward energy conservation

Overview of attention for article published in Frontiers in Energy Research, December 2022
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

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24 Mendeley
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Title
Implementation of a smart energy meter using blockchain and Internet of Things: A step toward energy conservation
Published in
Frontiers in Energy Research, December 2022
DOI 10.3389/fenrg.2022.1029113
Authors

Muhammad Tahir, Najma Ismat, Huma Hasan Rizvi, Asma Zaffar, Syed Muhammad Nabeel Mustafa, Affan Ahmed Khan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 13%
Student > Master 3 13%
Professor > Associate Professor 1 4%
Student > Ph. D. Student 1 4%
Unknown 16 67%
Readers by discipline Count As %
Unspecified 3 13%
Nursing and Health Professions 1 4%
Computer Science 1 4%
Economics, Econometrics and Finance 1 4%
Energy 1 4%
Other 0 0%
Unknown 17 71%
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 09 December 2022.
All research outputs
#20,706,566
of 23,306,612 outputs
Outputs from Frontiers in Energy Research
#1,330
of 3,444 outputs
Outputs of similar age
#346,292
of 438,535 outputs
Outputs of similar age from Frontiers in Energy Research
#45
of 330 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,444 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 1st percentile – i.e., 1% 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 438,535 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 330 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.