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A blockchain-based smart grid: towards sustainable local energy markets

Overview of attention for article published in Computer Science - Research and Development, August 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
417 Mendeley
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Title
A blockchain-based smart grid: towards sustainable local energy markets
Published in
Computer Science - Research and Development, August 2017
DOI 10.1007/s00450-017-0360-9
Authors

Esther Mengelkamp, Benedikt Notheisen, Carolin Beer, David Dauer, Christof Weinhardt

Twitter Demographics

The data shown below were collected from the profiles of 2 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 417 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 417 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 110 26%
Student > Ph. D. Student 85 20%
Researcher 47 11%
Student > Bachelor 46 11%
Student > Doctoral Student 22 5%
Other 52 12%
Unknown 55 13%
Readers by discipline Count As %
Computer Science 97 23%
Engineering 78 19%
Energy 45 11%
Business, Management and Accounting 45 11%
Economics, Econometrics and Finance 23 6%
Other 49 12%
Unknown 80 19%

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 30 November 2017.
All research outputs
#6,598,569
of 12,225,951 outputs
Outputs from Computer Science - Research and Development
#24
of 39 outputs
Outputs of similar age
#112,918
of 265,776 outputs
Outputs of similar age from Computer Science - Research and Development
#2
of 3 outputs
Altmetric has tracked 12,225,951 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 39 research outputs from this source. They receive a mean Attention Score of 3.5. This one scored the same or higher as 15 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 265,776 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 55% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.