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How well do experience curves predict technological progress? A method for making distributional forecasts

Overview of attention for article published in Technological Forecasting and Social Change, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
19 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
36 Mendeley
Title
How well do experience curves predict technological progress? A method for making distributional forecasts
Published in
Technological Forecasting and Social Change, March 2018
DOI 10.1016/j.techfore.2017.11.001
Authors

François Lafond, Aimee Gotway Bailey, Jan David Bakker, Dylan Rebois, Rubina Zadourian, Patrick McSharry, J. Doyne Farmer

Twitter Demographics

The data shown below were collected from the profiles of 19 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Estonia 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Student > Master 9 25%
Unspecified 7 19%
Researcher 3 8%
Student > Postgraduate 2 6%
Other 5 14%
Readers by discipline Count As %
Unspecified 12 33%
Engineering 9 25%
Energy 6 17%
Economics, Econometrics and Finance 3 8%
Business, Management and Accounting 2 6%
Other 4 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 January 2018.
All research outputs
#1,228,082
of 12,351,221 outputs
Outputs from Technological Forecasting and Social Change
#87
of 995 outputs
Outputs of similar age
#42,977
of 262,167 outputs
Outputs of similar age from Technological Forecasting and Social Change
#7
of 44 outputs
Altmetric has tracked 12,351,221 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 995 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 91% 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 262,167 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.