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Deep Learning for Consumer Devices and Services

Overview of attention for article published in IEEE Consumer Electronics Magazine, March 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
195 Dimensions

Readers on

mendeley
206 Mendeley
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Title
Deep Learning for Consumer Devices and Services
Published in
IEEE Consumer Electronics Magazine, March 2017
DOI 10.1109/mce.2016.2640698
Authors

Joseph Lemley, Shabab Bazrafkan, Peter Corcoran

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
Unknown 205 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 17%
Student > Master 32 16%
Student > Bachelor 24 12%
Researcher 10 5%
Student > Doctoral Student 9 4%
Other 27 13%
Unknown 68 33%
Readers by discipline Count As %
Computer Science 49 24%
Engineering 45 22%
Business, Management and Accounting 7 3%
Psychology 4 2%
Social Sciences 3 1%
Other 22 11%
Unknown 76 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 February 2018.
All research outputs
#14,280,554
of 25,382,440 outputs
Outputs from IEEE Consumer Electronics Magazine
#122
of 250 outputs
Outputs of similar age
#155,877
of 322,265 outputs
Outputs of similar age from IEEE Consumer Electronics Magazine
#10
of 28 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 250 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 50% 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 322,265 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.