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Chronic fatigue syndrome: identifying zebras amongst the horses

Overview of attention for article published in BMC Medicine, October 2009
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Average Attention Score compared to outputs of the same age and source

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13 X users
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1 peer review site

Citations

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55 Dimensions

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69 Mendeley
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6 CiteULike
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Title
Chronic fatigue syndrome: identifying zebras amongst the horses
Published in
BMC Medicine, October 2009
DOI 10.1186/1741-7015-7-58
Pubmed ID
Authors

Samuel B Harvey, Simon Wessely

Abstract

There are currently no investigative tools or physical signs that can confirm or refute the presence of chronic fatigue syndrome (CFS). As a result, clinicians must decide how long to keep looking for alternative explanations for fatigue before settling on a diagnosis of CFS. Too little investigation risks serious or easily treatable causes of fatigue being overlooked, whilst too many increases the risk of iatrogenic harm and reduces the opportunity for early focused treatment. A paper by Jones et al published this month in BMC Medicine may help clinicians in deciding how to undertake such investigations. Their results suggest that if clinicians look for common psychiatric and medical conditions in those complaining of prolonged fatigue, the rate of detection will be higher than previously estimated. The most common co-morbid condition identified was depression, suggesting a simple mental state examination remains the most productive single investigation in any new person presenting with unexplained fatigue. Currently, most diagnostic criteria advice CFS should not be diagnosed when an active medical or psychiatric condition which may explain the fatigue is identified. We discuss a number of recent prospective studies that have provided valuable insights into the aetiology of chronic fatigue and describe a model for understanding chronic fatigue which may be equally relevant regardless of whether or not an apparent medical cause for fatigue can be identified. See the associated research paper by Jones et al: http://www.biomedcentral.com/1741-7015/7/57.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
Canada 1 1%
Unknown 66 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Bachelor 12 17%
Student > Master 10 14%
Student > Ph. D. Student 9 13%
Other 7 10%
Other 14 20%
Unknown 4 6%
Readers by discipline Count As %
Medicine and Dentistry 24 35%
Psychology 17 25%
Agricultural and Biological Sciences 9 13%
Nursing and Health Professions 4 6%
Neuroscience 3 4%
Other 7 10%
Unknown 5 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 June 2022.
All research outputs
#4,949,373
of 25,837,817 outputs
Outputs from BMC Medicine
#2,391
of 4,075 outputs
Outputs of similar age
#18,877
of 110,137 outputs
Outputs of similar age from BMC Medicine
#11
of 17 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,075 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.8. This one is in the 41st percentile – i.e., 41% 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 110,137 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 81% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.