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X Demographics
Mendeley readers
Attention Score in Context
Title |
AI-Powered Noncontact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing
|
---|---|
Published in |
IEEE Internet of Things Journal, January 2023
|
DOI | 10.1109/jiot.2023.3235268 |
Authors |
Hajar Abedi, Ahmad Ansariyan, Plinio P. Morita, Alexander Wong, Jennifer Boger, George Shaker |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 17% |
United States | 1 | 17% |
France | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 1 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 13% |
Student > Ph. D. Student | 4 | 13% |
Student > Doctoral Student | 2 | 6% |
Student > Bachelor | 2 | 6% |
Unspecified | 1 | 3% |
Other | 3 | 10% |
Unknown | 15 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 23% |
Computer Science | 5 | 16% |
Medicine and Dentistry | 2 | 6% |
Unspecified | 1 | 3% |
Psychology | 1 | 3% |
Other | 0 | 0% |
Unknown | 15 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 86. 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 05 July 2023.
All research outputs
#499,240
of 25,563,770 outputs
Outputs from IEEE Internet of Things Journal
#5
of 1,159 outputs
Outputs of similar age
#11,616
of 476,741 outputs
Outputs of similar age from IEEE Internet of Things Journal
#2
of 17 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,159 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 99% 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 476,741 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.