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Relationship between symptoms of dry eye syndrome and occupational characteristics: the Korean National Health and Nutrition Examination Survey 2010–2012

Overview of attention for article published in BMC Ophthalmology, October 2015
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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67 Mendeley
Title
Relationship between symptoms of dry eye syndrome and occupational characteristics: the Korean National Health and Nutrition Examination Survey 2010–2012
Published in
BMC Ophthalmology, October 2015
DOI 10.1186/s12886-015-0147-3
Pubmed ID
Authors

June-Hee Lee, Wanhyung Lee, Jin-Ha Yoon, Hongdeok Seok, Jaehoon Roh, Jong-Uk Won

Abstract

Dry Eye Syndrome (DES) is a broad spectrum of uncomfortable ocular conditions that are caused by reduced production of tears or an increased tear evaporation rate. This study evaluated the relationship between symptoms of DES and occupational characteristics to identify the occupation-dependent differences in the prevalence of symptoms of DES using the Korean National Health and Nutrition Examination Survey V (2010-2012) data. A total of 6023 participants were included (3203 men and 2820 women). Questionnaires and physical examinations were used to record clinical characteristics, occupational characteristics and medical history. Odds ratios (ORs) and 95 % confidence intervals (95 % CIs) for symptoms of DES were calculated according to the occupational characteristics. Among the participants, 963 persons (16.0 %) had symptoms of DES. An increased risk (relative to the green-collar group) was observed for the ordinary white-collar (OR, 1.73; 95 % CI, 1.73-1.41), executive white-collar (OR, 1.40; 95 % CI, 1.02-1.92) and skilled blue-collar (OR, 1.44; 95 % CI, 1.04-2.00) groups. Furthermore, paid workers had a significantly higher risk of dry eye symptoms (OR, 1.21; 95 % CI, 1.02-1.45), compared to self-employed workers. Our study is the first research to reveal that white-collar workers have a higher risk of symptoms of DES than blue-collar workers, that skilled blue-collar workers have a higher risk than unskilled blue-collar workers, and that paid workers have a higher risk than self-employed workers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ghana 1 1%
Unknown 66 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 13%
Student > Bachelor 9 13%
Researcher 8 12%
Other 7 10%
Student > Postgraduate 4 6%
Other 12 18%
Unknown 18 27%
Readers by discipline Count As %
Medicine and Dentistry 24 36%
Nursing and Health Professions 8 12%
Biochemistry, Genetics and Molecular Biology 2 3%
Psychology 2 3%
Computer Science 2 3%
Other 8 12%
Unknown 21 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 November 2015.
All research outputs
#14,178,088
of 22,831,537 outputs
Outputs from BMC Ophthalmology
#611
of 2,347 outputs
Outputs of similar age
#146,585
of 284,653 outputs
Outputs of similar age from BMC Ophthalmology
#12
of 33 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,347 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 73% 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 284,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.