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Psychometric properties of the CDC Symptom Inventory for assessment of Chronic Fatigue Syndrome

Overview of attention for article published in Population Health Metrics, July 2005
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

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4 X users
peer_reviews
1 peer review site

Citations

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143 Dimensions

Readers on

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49 Mendeley
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Title
Psychometric properties of the CDC Symptom Inventory for assessment of Chronic Fatigue Syndrome
Published in
Population Health Metrics, July 2005
DOI 10.1186/1478-7954-3-8
Pubmed ID
Authors

Dieter Wagner, Rosane Nisenbaum, Christine Heim, James F Jones, Elizabeth R Unger, William C Reeves

Abstract

Validated or standardized self-report questionnaires used in research studies and clinical evaluation of chronic fatigue syndrome (CFS) generally focus on the assessment of fatigue. There are relatively few published questionnaires that evaluate case defining and other accompanying symptoms in CFS. This paper introduces the self-report CDC CFS Symptom Inventory and analyzes its psychometric properties.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Greece 1 2%
Canada 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Researcher 8 16%
Student > Master 6 12%
Other 5 10%
Professor > Associate Professor 4 8%
Other 11 22%
Unknown 7 14%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Psychology 8 16%
Agricultural and Biological Sciences 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Nursing and Health Professions 3 6%
Other 9 18%
Unknown 10 20%
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 16 February 2016.
All research outputs
#7,683,322
of 24,677,985 outputs
Outputs from Population Health Metrics
#209
of 407 outputs
Outputs of similar age
#21,455
of 63,542 outputs
Outputs of similar age from Population Health Metrics
#2
of 2 outputs
Altmetric has tracked 24,677,985 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 46th percentile – i.e., 46% 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 63,542 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 65% 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.