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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, December 2017
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
16 tweeters

Readers on

mendeley
18 Mendeley
Title
How well do experience curves predict technological progress? A method for making distributional forecasts
Published in
Technological Forecasting and Social Change, December 2017
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 16 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Estonia 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Student > Master 6 33%
Unspecified 2 11%
Researcher 1 6%
Lecturer 1 6%
Other 1 6%
Readers by discipline Count As %
Engineering 5 28%
Unspecified 4 22%
Energy 3 17%
Environmental Science 1 6%
Mathematics 1 6%
Other 4 22%

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
#1,070,649
of 11,419,765 outputs
Outputs from Technological Forecasting and Social Change
#73
of 876 outputs
Outputs of similar age
#46,330
of 294,559 outputs
Outputs of similar age from Technological Forecasting and Social Change
#6
of 26 outputs
Altmetric has tracked 11,419,765 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 876 research outputs from this source. They receive a mean Attention Score of 4.6. 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 294,559 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 84% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.