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A methodological framework for futures studies: integrating normative backcasting approaches and descriptive case study design for strategic data-driven smart sustainable city planning

Overview of attention for article published in Energy Informatics, December 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
89 Mendeley
Title
A methodological framework for futures studies: integrating normative backcasting approaches and descriptive case study design for strategic data-driven smart sustainable city planning
Published in
Energy Informatics, December 2020
DOI 10.1186/s42162-020-00133-5
Authors

Simon Elias Bibri

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 13%
Student > Ph. D. Student 12 13%
Researcher 7 8%
Student > Doctoral Student 6 7%
Lecturer 5 6%
Other 11 12%
Unknown 36 40%
Readers by discipline Count As %
Social Sciences 11 12%
Engineering 8 9%
Arts and Humanities 6 7%
Business, Management and Accounting 4 4%
Design 4 4%
Other 15 17%
Unknown 41 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 July 2022.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from Energy Informatics
#14
of 56 outputs
Outputs of similar age
#187,804
of 504,926 outputs
Outputs of similar age from Energy Informatics
#4
of 8 outputs
Altmetric has tracked 22,785,242 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 56 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% 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 504,926 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 58% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.