| Title |
Evaluation of white matter microstructure in patients with Parkinson’s disease using microscopic fractional anisotropy
|
|---|---|
| Published in |
Neuroradiology, November 2019
|
| DOI | 10.1007/s00234-019-02301-1 |
| Pubmed ID | |
| Authors |
Yutaka Ikenouchi, Koji Kamagata, Christina Andica, Taku Hatano, Takashi Ogawa, Haruka Takeshige-Amano, Kouhei Kamiya, Akihiko Wada, Michimasa Suzuki, Shohei Fujita, Akifumi Hagiwara, Ryusuke Irie, Masaaki Hori, Genko Oyama, Yashushi Shimo, Atsushi Umemura, Nobutaka Hattori, Shigeki Aoki |
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% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 31% |
| Other | 5 | 19% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Master | 3 | 12% |
| Researcher | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 27% |
| Nursing and Health Professions | 3 | 12% |
| Engineering | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Computer Science | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 7 | 27% |
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 06 November 2019.
All research outputs
#18,034,866
of 23,170,347 outputs
Outputs from Neuroradiology
#866
of 1,407 outputs
Outputs of similar age
#256,741
of 364,567 outputs
Outputs of similar age from Neuroradiology
#11
of 37 outputs
Altmetric has tracked 23,170,347 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 1,407 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 33rd percentile – i.e., 33% 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 364,567 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 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 64% of its contemporaries.