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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validation of a Malay Version of the Smartphone Addiction Scale among Medical Students in Malaysia
|
|---|---|
| Published in |
PLOS ONE, October 2015
|
| DOI | 10.1371/journal.pone.0139337 |
| Pubmed ID | |
| Authors |
Siew Mooi Ching, Anne Yee, Vasudevan Ramachandran, Sazlyna Mohd Sazlly Lim, Wan Aliaa Wan Sulaiman, Yoke Loong Foo, Fan kee Hoo |
| Abstract |
This study was initiated to determine the psychometric properties of the Smart Phone Addiction Scale (SAS) by translating and validating this scale into the Malay language (SAS-M), which is the main language spoken in Malaysia. This study can distinguish smart phone and internet addiction among multi-ethnic Malaysian medical students. In addition, the reliability and validity of the SAS was also demonstrated. A total of 228 participants were selected between August 2014 and September 2014 to complete a set of questionnaires, including the SAS and the modified Kimberly Young Internet addiction test (IAT) in the Malay language. There were 99 males and 129 females with ages ranging from 19 to 22 years old (21.7±1.1) included in this study. Descriptive and factor analyses, intra-class coefficients, t-tests and correlation analyses were conducted to verify the reliability and validity of the SAS. Bartlett's test of sphericity was significant (p <0.01), and the Kaiser-Mayer-Olkin measure of sampling adequacy for the SAS-M was 0.92, indicating meritoriously that the factor analysis was appropriate. The internal consistency and concurrent validity of the SAS-M were verified (Cronbach's alpha = 0.94). All of the subscales of the SAS-M, except for positive anticipation, were significantly related to the Malay version of the IAT. This study developed the first smart phone addiction scale among medical students. This scale was shown to be reliable and valid in the Malay language. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Unknown | 292 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 68 | 23% |
| Student > Master | 41 | 14% |
| Student > Ph. D. Student | 30 | 10% |
| Researcher | 13 | 4% |
| Other | 11 | 4% |
| Other | 47 | 16% |
| Unknown | 85 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 60 | 20% |
| Psychology | 45 | 15% |
| Nursing and Health Professions | 23 | 8% |
| Social Sciences | 21 | 7% |
| Computer Science | 13 | 4% |
| Other | 41 | 14% |
| Unknown | 92 | 31% |
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 04 October 2015.
All research outputs
#15,119,631
of 24,008,549 outputs
Outputs from PLOS ONE
#127,827
of 206,038 outputs
Outputs of similar age
#146,415
of 279,020 outputs
Outputs of similar age from PLOS ONE
#3,174
of 5,763 outputs
Altmetric has tracked 24,008,549 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 206,038 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 34th percentile – i.e., 34% 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 279,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,763 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.