The data shown below were collected from the profiles of 78 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Monitoring gait at home with radio waves in Parkinson’s disease: A marker of severity, progression, and medication response
|
|---|---|
| Published in |
Science Translational Medicine, September 2022
|
| DOI | 10.1126/scitranslmed.adc9669 |
| Pubmed ID | |
| Authors |
Yingcheng Liu, Guo Zhang, Christopher G Tarolli, Rumen Hristov, Stella Jensen-Roberts, Emma M Waddell, Taylor L Myers, Meghan E Pawlik, Julia M Soto, Renee M Wilson, Yuzhe Yang, Timothy Nordahl, Karlo J Lizarraga, Jamie L Adams, Ruth B Schneider, Karl Kieburtz, Terry Ellis, E Ray Dorsey, Dina Katabi |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 12% |
| India | 2 | 3% |
| Georgia | 1 | 1% |
| Pakistan | 1 | 1% |
| Turkey | 1 | 1% |
| Kenya | 1 | 1% |
| United Kingdom | 1 | 1% |
| Brazil | 1 | 1% |
| Switzerland | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 58 | 74% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 62 | 79% |
| Scientists | 7 | 9% |
| Science communicators (journalists, bloggers, editors) | 5 | 6% |
| Practitioners (doctors, other healthcare professionals) | 4 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 14% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Doctoral Student | 6 | 8% |
| Student > Master | 5 | 7% |
| Student > Bachelor | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 31 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 13% |
| Neuroscience | 9 | 13% |
| Computer Science | 6 | 8% |
| Agricultural and Biological Sciences | 1 | 1% |
| Immunology and Microbiology | 1 | 1% |
| Other | 10 | 14% |
| Unknown | 36 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 609. 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 15 July 2023.
All research outputs
#39,370
of 26,370,058 outputs
Outputs from Science Translational Medicine
#135
of 5,196 outputs
Outputs of similar age
#1,226
of 441,277 outputs
Outputs of similar age from Science Translational Medicine
#5
of 92 outputs
Altmetric has tracked 26,370,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,196 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 94.1. This one has done particularly well, scoring higher than 97% 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 441,277 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 99% of its contemporaries.
We're also able to compare this research output to 92 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.