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X Demographics
Mendeley readers
Attention Score in Context
Title |
SMS reminders- future in self-care management of diabetes mellitus?
|
---|---|
Published in |
Diabetology & Metabolic Syndrome, July 2012
|
DOI | 10.1186/1758-5996-4-31 |
Pubmed ID | |
Authors |
Talha Riaz, Haris Riaz, Syed A Hussain, Danish Kherani |
Abstract |
Application of SMS in reminders of medical appointments and delivering medical tests is not new, however its focus on clinical interventions has just begun. Usage of tailored SMS reminders to increase adherence in treatment programs among sick individuals has allowed an interventional role in self-care management of Diabetes Mellitus (DM). |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Hungary | 1 | 33% |
Philippines | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 5% |
Sweden | 1 | 2% |
Ghana | 1 | 2% |
Unknown | 40 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 17 | 39% |
Student > Postgraduate | 6 | 14% |
Student > Ph. D. Student | 6 | 14% |
Researcher | 5 | 11% |
Student > Bachelor | 2 | 5% |
Other | 4 | 9% |
Unknown | 4 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 30% |
Nursing and Health Professions | 5 | 11% |
Psychology | 4 | 9% |
Computer Science | 3 | 7% |
Social Sciences | 3 | 7% |
Other | 7 | 16% |
Unknown | 9 | 20% |
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 20 December 2013.
All research outputs
#14,184,832
of 22,736,112 outputs
Outputs from Diabetology & Metabolic Syndrome
#316
of 661 outputs
Outputs of similar age
#96,648
of 164,346 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#11
of 13 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 661 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 50% 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 164,346 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.