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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Power spectral analysis of heart rate variability is useful as a screening tool for detecting sympathetic and parasympathetic nervous dysfunctions in Parkinson’s disease
|
|---|---|
| Published in |
BMC Neurology, September 2022
|
| DOI | 10.1186/s12883-022-02872-2 |
| Pubmed ID | |
| Authors |
Tomo Miyagi, Masanobu Yamazato, Takuto Nakamura, Takashi Tokashiki, Yukihiro Namihira, Kazuhito Kokuba, Satoshi Ishihara, Hirokuni Sakima, Yusuke Ohya |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Unspecified | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 16% |
| Engineering | 2 | 11% |
| Nursing and Health Professions | 1 | 5% |
| Neuroscience | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 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 14 September 2022.
All research outputs
#15,700,122
of 23,330,477 outputs
Outputs from BMC Neurology
#1,512
of 2,490 outputs
Outputs of similar age
#237,657
of 434,944 outputs
Outputs of similar age from BMC Neurology
#31
of 56 outputs
Altmetric has tracked 23,330,477 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,490 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 26th percentile – i.e., 26% 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 434,944 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.