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General Business Model Patterns for Local Energy Management Concepts

Overview of attention for article published in Frontiers in Energy Research, March 2016
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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2 X users

Readers on

mendeley
84 Mendeley
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Title
General Business Model Patterns for Local Energy Management Concepts
Published in
Frontiers in Energy Research, March 2016
DOI 10.3389/fenrg.2016.00007
Authors

Emanuele Facchinetti, Sabine Sulzer

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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 83 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 15%
Student > Master 13 15%
Researcher 11 13%
Student > Bachelor 5 6%
Professor 4 5%
Other 10 12%
Unknown 28 33%
Readers by discipline Count As %
Business, Management and Accounting 14 17%
Engineering 11 13%
Energy 6 7%
Social Sciences 4 5%
Environmental Science 4 5%
Other 12 14%
Unknown 33 39%
Attention Score in Context

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 07 June 2018.
All research outputs
#14,252,067
of 22,852,911 outputs
Outputs from Frontiers in Energy Research
#362
of 3,208 outputs
Outputs of similar age
#157,148
of 298,620 outputs
Outputs of similar age from Frontiers in Energy Research
#5
of 16 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,208 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 87% 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 298,620 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.