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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association of Fatigue and Stress With Gray Matter Volume
|
|---|---|
| Published in |
Frontiers in Behavioral Neuroscience, July 2018
|
| DOI | 10.3389/fnbeh.2018.00154 |
| Pubmed ID | |
| Authors |
Keisuke Kokubun, Kiyotaka Nemoto, Hiroki Oka, Hiroki Fukuda, Yoshinori Yamakawa, Yasuyoshi Watanabe |
| Abstract |
Stress is associated with a greater risk for various health problems including reduced gray matter volume (GMV) and density in a number of brain regions. Previous studies show that neuroimaging could be a means to objectively evaluate stress. However, to date, no definite neuroimaging-derived measures are available to detect stress. In this research we used the gray-matter brain healthcare quotient (GM-BHQ), an MRI-based quotient for monitoring brain health based on GMV, as an objective scale to measure the association of stress with the whole brain. We recruited 63 healthy adults to acquire structural T1-weighted images and stress levels evaluated using three representative stress scales: the Profile of Mood States (POMS), Perceived Stress Scale (PSS) and Chalder Fatigue Scale (CFS). We found that the GM-BHQ was sensitive to fatigue and the interaction between fatigue and stress. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 10% |
| Unknown | 18 | 90% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 90% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 18% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Researcher | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 18 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 18% |
| Neuroscience | 4 | 9% |
| Nursing and Health Professions | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Business, Management and Accounting | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 20 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 28 September 2023.
All research outputs
#3,090,699
of 25,658,139 outputs
Outputs from Frontiers in Behavioral Neuroscience
#527
of 3,484 outputs
Outputs of similar age
#58,305
of 341,530 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#18
of 83 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 84% 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 341,530 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.