| Title |
Effects of and satisfaction with short message service reminders for patient medication adherence: a randomized controlled study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2013
|
| DOI | 10.1186/1472-6947-13-127 |
| Pubmed ID | |
| Authors |
Hsiu-Ling Huang, Yu-Chuan Jack Li, Yueh-Ching Chou, Yow-Wen Hsieh, Frank Kuo, Wen-Chen Tsai, Sinkuo Daniel Chai, Blossom Yen-Ju Lin, Pei-Tseng Kung, Chia-Jung Chuang |
| Abstract |
Medication adherence is critical for patient treatment. This study involved evaluating how implementing Short Message Service (SMS) reminders affected patient medication adherence and related factors. |
X Demographics
The data shown below were collected from the profiles of 13 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 States | 6 | 46% |
| Canada | 1 | 8% |
| India | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Practitioners (doctors, other healthcare professionals) | 3 | 23% |
| Scientists | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | <1% |
| Switzerland | 1 | <1% |
| Singapore | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 171 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 32 | 18% |
| Researcher | 24 | 14% |
| Student > Bachelor | 20 | 11% |
| Student > Postgraduate | 19 | 11% |
| Student > Ph. D. Student | 18 | 10% |
| Other | 33 | 19% |
| Unknown | 30 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 63 | 36% |
| Nursing and Health Professions | 20 | 11% |
| Social Sciences | 11 | 6% |
| Psychology | 10 | 6% |
| Computer Science | 9 | 5% |
| Other | 23 | 13% |
| Unknown | 40 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 03 December 2013.
All research outputs
#2,909,921
of 22,731,677 outputs
Outputs from BMC Medical Informatics and Decision Making
#233
of 1,985 outputs
Outputs of similar age
#25,074
of 187,852 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 46 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 88% 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 187,852 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.