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A framework for usage pattern–based power optimization and battery lifetime prediction in smartphones

Overview of attention for article published in Personal and Ubiquitous Computing, April 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
12 Mendeley
Title
A framework for usage pattern–based power optimization and battery lifetime prediction in smartphones
Published in
Personal and Ubiquitous Computing, April 2019
DOI 10.1007/s00779-019-01213-4
Authors

Nirmal Pandey, Om Prakash Verma, Amioy Kumar

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 8%
Other 1 8%
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Professor 1 8%
Other 2 17%
Unknown 5 42%
Readers by discipline Count As %
Computer Science 4 33%
Arts and Humanities 1 8%
Engineering 1 8%
Unknown 6 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 April 2019.
All research outputs
#18,016,017
of 23,142,049 outputs
Outputs from Personal and Ubiquitous Computing
#593
of 1,201 outputs
Outputs of similar age
#249,479
of 352,726 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#6
of 23 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,201 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 352,726 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.