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Mechanisms underlying fatigue: a voxel-based morphometric study of chronic fatigue syndrome

Overview of attention for article published in BMC Neurology, October 2004
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

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6 X users
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3 Facebook pages

Citations

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189 Dimensions

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154 Mendeley
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Title
Mechanisms underlying fatigue: a voxel-based morphometric study of chronic fatigue syndrome
Published in
BMC Neurology, October 2004
DOI 10.1186/1471-2377-4-14
Pubmed ID
Authors

Tomohisa Okada, Masaaki Tanaka, Hirohiko Kuratsune, Yasuyoshi Watanabe, Norihiro Sadato

Abstract

Fatigue is a crucial sensation that triggers rest, yet its underlying neuronal mechanisms remain unclear. Intense long-term fatigue is a symptom of chronic fatigue syndrome, which is used as a model to study the mechanisms underlying fatigue.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Japan 3 2%
Italy 2 1%
Germany 2 1%
Spain 2 1%
Belgium 1 <1%
Norway 1 <1%
Malaysia 1 <1%
Greece 1 <1%
Other 0 0%
Unknown 138 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 23%
Student > Ph. D. Student 19 12%
Student > Master 19 12%
Student > Bachelor 15 10%
Professor > Associate Professor 10 6%
Other 40 26%
Unknown 16 10%
Readers by discipline Count As %
Medicine and Dentistry 36 23%
Psychology 28 18%
Neuroscience 17 11%
Agricultural and Biological Sciences 15 10%
Sports and Recreations 7 5%
Other 25 16%
Unknown 26 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 March 2022.
All research outputs
#7,366,520
of 25,402,889 outputs
Outputs from BMC Neurology
#878
of 2,699 outputs
Outputs of similar age
#22,189
of 76,246 outputs
Outputs of similar age from BMC Neurology
#1
of 1 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,699 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 66% 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 76,246 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them