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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of a questionnaire assessing the quality of life impact of Colour Blindness (CBQoL)
|
|---|---|
| Published in |
BMC Ophthalmology, October 2017
|
| DOI | 10.1186/s12886-017-0579-z |
| Pubmed ID | |
| Authors |
John A. Barry, Susan Mollan, Michael A. Burdon, Michelle Jenkins, Alastair K. Denniston |
| Abstract |
Congenital colour vision deficiency (CVD), commonly called 'colour blindness', affects around 8% of men and 0.4% of women. Although many aspects of health (e.g. change in colour of urine) and healthcare (e.g. coloured medication, colour-coded diagnostic tests), and modern life depend upon colour coding (e.g. graphs, maps, signals), the impact of colour blindness on everyday life is not generally considered a topic of importance. This study is the first to create and validate a questionnaire measuring the quality of life (QoL) impact of being colour blind. This study consisted of two phases. Firstly, the questionnaire design and development phase was led by an expert panel and piloted on a focus group. Secondly, an online sample of 128 men and 291 women filled in the questionnaire, and the psychometric properties of the questionnaire were analysed using principal components analysis (PCA). The scores of colour blind (CB) participants and normal-sighted controls, controlling for age and sex, were compared using matched t-tests. The PCA resulted in a questionnaire with three domains (or subscales): QoL for Health & Lifestyle, QoL for Work, and QoL for Emotions. Controlling for age, there was a significantly greater negative impact on QoL for CB people than normal-sighted controls in regards to confusion over colour in various aspects of their health (p = 5 × 10(-7)), work (p = 1.3 × 10(-7)), and emotional life (p = 6 × 10(-5)). Colour blindness can significantly impact quality of life for health, emotions, and especially careers. The tool developed here could be useful in future clinical studies to measure changes in CBQoL in response to therapy in conditions where colour vision is affected. We also discuss ways in which everyday problems related to colour vision might be reduced, for example, workplaces could avoid colour coding where a non-colour alternative is possible. |
X Demographics
The data shown below were collected from the profiles of 20 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 Kingdom | 10 | 50% |
| United States | 1 | 5% |
| Ireland | 1 | 5% |
| Germany | 1 | 5% |
| South Africa | 1 | 5% |
| Guernsey | 1 | 5% |
| Unknown | 5 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 75% |
| Scientists | 3 | 15% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 114 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 9% |
| Student > Bachelor | 10 | 9% |
| Student > Ph. D. Student | 9 | 8% |
| Other | 7 | 6% |
| Student > Postgraduate | 7 | 6% |
| Other | 25 | 22% |
| Unknown | 46 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 15% |
| Psychology | 10 | 9% |
| Computer Science | 6 | 5% |
| Nursing and Health Professions | 5 | 4% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 20 | 18% |
| Unknown | 52 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 18 March 2022.
All research outputs
#1,097,292
of 25,758,695 outputs
Outputs from BMC Ophthalmology
#12
of 2,709 outputs
Outputs of similar age
#22,281
of 333,051 outputs
Outputs of similar age from BMC Ophthalmology
#1
of 25 outputs
Altmetric has tracked 25,758,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,709 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 99% 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 333,051 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.