Title |
M-health: supporting automated diagnosis and electonic health records
|
---|---|
Published in |
SpringerPlus, March 2013
|
DOI | 10.1186/2193-1801-2-103 |
Pubmed ID | |
Authors |
Efthimios Alepis, Christos Lambrinidis |
Abstract |
Mobile technology has become a part of our everyday life. Mobile services are used in a wide variety of scientific areas including healthcare. As an intersection of computer supported technology and medicine, m-health is expected to bring higher quality in healthcare. A remedy to deter people from neglecting their health issues is providing further and targeted information, while this information is available on the main devices most people use on a regular basis, namely any station or a mobile phone connected to Internet, enabling access to their health status anytime and at any place. |
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 % |
---|---|---|
Turkey | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 2 | 3% |
United Kingdom | 1 | 2% |
Canada | 1 | 2% |
Unknown | 58 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 24% |
Student > Master | 11 | 18% |
Researcher | 7 | 11% |
Student > Bachelor | 5 | 8% |
Other | 4 | 6% |
Other | 9 | 15% |
Unknown | 11 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 19% |
Computer Science | 11 | 18% |
Social Sciences | 6 | 10% |
Engineering | 5 | 8% |
Business, Management and Accounting | 2 | 3% |
Other | 7 | 11% |
Unknown | 19 | 31% |
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 07 April 2013.
All research outputs
#17,682,134
of 22,701,287 outputs
Outputs from SpringerPlus
#1,202
of 1,852 outputs
Outputs of similar age
#142,471
of 195,527 outputs
Outputs of similar age from SpringerPlus
#54
of 130 outputs
Altmetric has tracked 22,701,287 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 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 32nd percentile – i.e., 32% 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 195,527 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.