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Statistical and spectral analysis of ECG signal towards achieving non-invasive blood glucose monitoring

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
66 Mendeley
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Title
Statistical and spectral analysis of ECG signal towards achieving non-invasive blood glucose monitoring
Published in
BMC Medical Informatics and Decision Making, December 2019
DOI 10.1186/s12911-019-0959-9
Pubmed ID
Authors

Igbe Tobore, Jingzhen Li, Abhishek Kandwal, Liu Yuhang, Zedong Nie, Lei Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 14%
Student > Ph. D. Student 7 11%
Librarian 3 5%
Student > Master 3 5%
Student > Postgraduate 2 3%
Other 6 9%
Unknown 36 55%
Readers by discipline Count As %
Engineering 8 12%
Computer Science 5 8%
Nursing and Health Professions 5 8%
Biochemistry, Genetics and Molecular Biology 2 3%
Medicine and Dentistry 2 3%
Other 8 12%
Unknown 36 55%
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 09 November 2021.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from BMC Medical Informatics and Decision Making
#787
of 2,024 outputs
Outputs of similar age
#164,774
of 459,006 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 66 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 58% 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 459,006 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 56% of its contemporaries.
We're also able to compare this research output to 66 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 56% of its contemporaries.