| Title |
Reduced complexity of activity patterns in patients with Chronic Fatigue Syndrome: a case control study
|
|---|---|
| Published in |
BioPsychoSocial Medicine, June 2009
|
| DOI | 10.1186/1751-0759-3-7 |
| Pubmed ID | |
| Authors |
Christopher Burton, Hans Knoop, Nikola Popovic, Michael Sharpe, Gijs Bleijenberg |
| Abstract |
Chronic fatigue syndrome (CFS) is an illness characterised by pervasive physical and mental fatigue without specific identified pathological changes. Many patients with CFS show reduced physical activity which, though quantifiable, has yielded little information to date. Nonlinear dynamic analysis of physiological data can be used to measure complexity in terms of dissimilarity within timescales and similarity across timescales. A reduction in these objective measures has been associated with disease and ageing. We aimed to test the hypothesis that activity patterns of patients with CFS would show reduced complexity compared to healthy controls. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 3% |
| Netherlands | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 28 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 23% |
| Researcher | 5 | 16% |
| Student > Ph. D. Student | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 19% |
| Medicine and Dentistry | 6 | 19% |
| Agricultural and Biological Sciences | 5 | 16% |
| Sports and Recreations | 3 | 10% |
| Engineering | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 5 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 December 2021.
All research outputs
#6,495,686
of 25,373,627 outputs
Outputs from BioPsychoSocial Medicine
#107
of 323 outputs
Outputs of similar age
#35,187
of 125,329 outputs
Outputs of similar age from BioPsychoSocial Medicine
#2
of 2 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 323 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. 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 125,329 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 71% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.