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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of Machine Vision in Classifying Gait Frailty Among Older Adults
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, November 2021
|
| DOI | 10.3389/fnagi.2021.757823 |
| Pubmed ID | |
| Authors |
Yixin Liu, Xiaohai He, Renjie Wang, Qizhi Teng, Rui Hu, Linbo Qing, Zhengyong Wang, Xuan He, Biao Yin, Yi Mou, Yanping Du, Xinyi Li, Hui Wang, Xiaolei Liu, Lixing Zhou, Linghui Deng, Ziqi Xu, Chun Xiao, Meiling Ge, Xuelian Sun, Junshan Jiang, Jiaoyang Chen, Xinyi Lin, Ling Xia, Haoran Gong, Haopeng Yu, Birong Dong |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 % |
|---|---|---|
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 18 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 10% |
| Nursing and Health Professions | 2 | 6% |
| Social Sciences | 2 | 6% |
| Psychology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 18 | 58% |
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 30 November 2021.
All research outputs
#18,145,205
of 23,310,485 outputs
Outputs from Frontiers in Aging Neuroscience
#3,906
of 4,938 outputs
Outputs of similar age
#265,510
of 395,445 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#179
of 231 outputs
Altmetric has tracked 23,310,485 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 4,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 16th percentile – i.e., 16% 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 395,445 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 231 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.