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A note on the classification of future-related methods

Overview of attention for article published in European Journal of Futures Research, September 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
93 Mendeley
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Title
A note on the classification of future-related methods
Published in
European Journal of Futures Research, September 2018
DOI 10.1186/s40309-018-0145-9
Authors

Roberto Poli

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 17%
Student > Ph. D. Student 13 14%
Researcher 10 11%
Student > Doctoral Student 6 6%
Lecturer 5 5%
Other 17 18%
Unknown 26 28%
Readers by discipline Count As %
Social Sciences 24 26%
Business, Management and Accounting 12 13%
Environmental Science 5 5%
Engineering 5 5%
Philosophy 3 3%
Other 14 15%
Unknown 30 32%
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 30 March 2019.
All research outputs
#12,829,130
of 23,138,859 outputs
Outputs from European Journal of Futures Research
#71
of 142 outputs
Outputs of similar age
#154,900
of 337,955 outputs
Outputs of similar age from European Journal of Futures Research
#1
of 3 outputs
Altmetric has tracked 23,138,859 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 142 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 48th percentile – i.e., 48% 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 337,955 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 53% 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. This one has scored higher than all of them