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Google DeepMind and healthcare in an age of algorithms

Overview of attention for article published in Health and Technology, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 267)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
56 news outlets
blogs
15 blogs
policy
6 policy sources
twitter
707 X users
patent
3 patents
facebook
1 Facebook page
googleplus
3 Google+ users

Citations

dimensions_citation
320 Dimensions

Readers on

mendeley
672 Mendeley
citeulike
2 CiteULike
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Title
Google DeepMind and healthcare in an age of algorithms
Published in
Health and Technology, March 2017
DOI 10.1007/s12553-017-0179-1
Pubmed ID
Authors

Julia Powles, Hal Hodson

Abstract

Data-driven tools and techniques, particularly machine learning methods that underpin artificial intelligence, offer promise in improving healthcare systems and services. One of the companies aspiring to pioneer these advances is DeepMind Technologies Limited, a wholly-owned subsidiary of the Google conglomerate, Alphabet Inc. In 2016, DeepMind announced its first major health project: a collaboration with the Royal Free London NHS Foundation Trust, to assist in the management of acute kidney injury. Initially received with great enthusiasm, the collaboration has suffered from a lack of clarity and openness, with issues of privacy and power emerging as potent challenges as the project has unfolded. Taking the DeepMind-Royal Free case study as its pivot, this article draws a number of lessons on the transfer of population-derived datasets to large private prospectors, identifying critical questions for policy-makers, industry and individuals as healthcare moves into an algorithmic age.

X Demographics

X Demographics

The data shown below were collected from the profiles of 707 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 672 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Spain 1 <1%
Unknown 669 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 94 14%
Student > Ph. D. Student 89 13%
Researcher 73 11%
Student > Bachelor 65 10%
Other 37 6%
Other 114 17%
Unknown 200 30%
Readers by discipline Count As %
Medicine and Dentistry 92 14%
Computer Science 81 12%
Social Sciences 63 9%
Engineering 36 5%
Business, Management and Accounting 34 5%
Other 137 20%
Unknown 229 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1013. 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 23 April 2024.
All research outputs
#16,345
of 25,967,142 outputs
Outputs from Health and Technology
#1
of 267 outputs
Outputs of similar age
#284
of 325,911 outputs
Outputs of similar age from Health and Technology
#1
of 5 outputs
Altmetric has tracked 25,967,142 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done particularly well, scoring higher than 99% 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 325,911 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 99% of its contemporaries.
We're also able to compare this research output to 5 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