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DL-CHI: a dictionary learning-based contemporaneous health index for degenerative disease monitoring

Overview of attention for article published in EURASIP Journal on Advances in Signal Processing, March 2018
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 Mendeley
Title
DL-CHI: a dictionary learning-based contemporaneous health index for degenerative disease monitoring
Published in
EURASIP Journal on Advances in Signal Processing, March 2018
DOI 10.1186/s13634-018-0538-8
Authors

Aven Samareh, Shuai Huang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 29%
Researcher 1 14%
Student > Bachelor 1 14%
Student > Master 1 14%
Unknown 2 29%
Readers by discipline Count As %
Engineering 2 29%
Computer Science 1 14%
Psychology 1 14%
Business, Management and Accounting 1 14%
Unknown 2 29%

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 March 2018.
All research outputs
#10,105,604
of 12,633,553 outputs
Outputs from EURASIP Journal on Advances in Signal Processing
#194
of 305 outputs
Outputs of similar age
#205,654
of 274,054 outputs
Outputs of similar age from EURASIP Journal on Advances in Signal Processing
#1
of 1 outputs
Altmetric has tracked 12,633,553 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 305 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 29th percentile – i.e., 29% 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 274,054 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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