| Title |
Exploratory factor analysis of self-reported symptoms in a large, population-based military cohort
|
|---|---|
| Published in |
BMC Medical Research Methodology, October 2010
|
| DOI | 10.1186/1471-2288-10-94 |
| Pubmed ID | |
| Authors |
Molly L Kelton, Cynthia A LeardMann, Besa Smith, Edward J Boyko, Tomoko I Hooper, Gary D Gackstetter, Paul D Bliese, Charles W Hoge, Tyler C Smith, the Millennium Cohort Study Team |
| Abstract |
US military engagements have consistently raised concern over the array of health outcomes experienced by service members postdeployment. Exploratory factor analysis has been used in studies of 1991 Gulf War-related illnesses, and may increase understanding of symptoms and health outcomes associated with current military conflicts in Iraq and Afghanistan. The objective of this study was to use exploratory factor analysis to describe the correlations among numerous physical and psychological symptoms in terms of a smaller number of unobserved variables or factors. |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| United States | 1 | 2% |
| Unknown | 49 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Researcher | 5 | 10% |
| Professor | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 11 | 21% |
| Unknown | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 15% |
| Medicine and Dentistry | 5 | 10% |
| Agricultural and Biological Sciences | 4 | 8% |
| Computer Science | 3 | 6% |
| Engineering | 3 | 6% |
| Other | 14 | 27% |
| Unknown | 15 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 August 2011.
All research outputs
#7,454,427
of 22,790,780 outputs
Outputs from BMC Medical Research Methodology
#1,088
of 2,011 outputs
Outputs of similar age
#35,187
of 99,099 outputs
Outputs of similar age from BMC Medical Research Methodology
#8
of 12 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,011 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.