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Mendeley readers
Attention Score in Context
| Title |
Item reduction and validation of the Chinese version of diabetes quality-of-life measure (DQOL)
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, April 2018
|
| DOI | 10.1186/s12955-018-0905-z |
| Pubmed ID | |
| Authors |
Xuejing Jin, Gordon G. Liu, Hertzel C. Gerstein, Mitchell A. H. Levine, Kathleen Steeves, Haijing Guan, Hongchao Li, Feng Xie |
| Abstract |
The Diabetes Quality-of-Life (DQOL) Measure is a 46-item diabetes-specific quality of life instrument. The original English version of the DQOL has been translated into Chinese after cultural adaption, and the Chinese DQOL has been validated in the Chinese diabetic patient population and used in diabetes-related studies. There are two recognized problems with the Chinese DQOL: 1) the instrument is too long, and 2) the non-response rate of certain items is relatively high. This study aimed to develop and validate a short version for the Chinese DQOL. Item reduction was conducted based on the classical test theory (CTT) and item response theory (IRT), each combined with exploratory factor analysis (EFA). The confirmatory factor analysis (CFA) and Spearman correlation coefficient were employed in validating the short versions. Both the study sample (n = 2,886) and the validation sample (n = 2,286) were from a longitudinal observation study of Chinese type 2 diabetic patients. The CTT kept 32 items, and the IRT kept 24 items from the original 46-item version. The two short versions were comparable in psychometric properties. The 24-item IRT-based short version of the Chinese DQOL was selected as the preferred short version because it imposes a lower burden on patients without compromising the psychometric properties of the instrument. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 18% |
| Student > Doctoral Student | 10 | 14% |
| Researcher | 7 | 9% |
| Student > Bachelor | 7 | 9% |
| Lecturer | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 20 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 22% |
| Psychology | 11 | 15% |
| Nursing and Health Professions | 10 | 14% |
| Social Sciences | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 25 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 April 2018.
All research outputs
#17,947,156
of 23,045,021 outputs
Outputs from Health and Quality of Life Outcomes
#1,515
of 2,188 outputs
Outputs of similar age
#236,901
of 326,468 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#66
of 73 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,188 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 21st percentile – i.e., 21% 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 326,468 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.