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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 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#48 of 2,378)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
31 X users

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
153 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Estonia 1 <1%
Unknown 152 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 18%
Student > Master 24 16%
Researcher 17 11%
Student > Doctoral Student 9 6%
Student > Bachelor 7 5%
Other 23 15%
Unknown 46 30%
Readers by discipline Count As %
Engineering 20 13%
Energy 18 12%
Economics, Econometrics and Finance 13 8%
Business, Management and Accounting 8 5%
Environmental Science 7 5%
Other 33 22%
Unknown 54 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 24 October 2023.
All research outputs
#775,997
of 25,382,440 outputs
Outputs from Technological Forecasting and Social Change
#48
of 2,378 outputs
Outputs of similar age
#17,586
of 344,853 outputs
Outputs of similar age from Technological Forecasting and Social Change
#3
of 43 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done particularly well, scoring higher than 97% 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 344,853 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.