↓ Skip to main content

New ethical challenges of digital technologies, machine learning and artificial intelligence in public health: a call for papers

Overview of attention for article published in Bulletin of the World Health Organization, January 2019
Altmetric Badge

Mentioned by

policy
1 policy source
twitter
145 X users
facebook
1 Facebook page

Readers on

mendeley
106 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
New ethical challenges of digital technologies, machine learning and artificial intelligence in public health: a call for papers
Published in
Bulletin of the World Health Organization, January 2019
DOI 10.2471/blt.18.227686
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 145 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 19 18%
Researcher 11 10%
Student > Bachelor 9 8%
Student > Ph. D. Student 7 7%
Student > Postgraduate 4 4%
Other 16 15%
Unknown 40 38%
Readers by discipline
Readers by discipline Count As %
Computer Science 14 13%
Business, Management and Accounting 11 10%
Medicine and Dentistry 10 9%
Nursing and Health Professions 7 7%
Social Sciences 7 7%
Other 17 16%
Unknown 40 38%