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X Demographics
Mendeley readers
| Title |
Effectiveness and cost-effectiveness of a telehealth intervention to support the management of long-term conditions: study protocol for two linked randomized controlled trials
|
|---|---|
| Published in |
Trials, January 2014
|
| DOI | 10.1186/1745-6215-15-36 |
| Pubmed ID | |
| Authors |
Clare L Thomas, Mei-See Man, Alicia O’Cathain, Sandra Hollinghurst, Shirley Large, Louisa Edwards, Jon Nicholl, Alan A Montgomery, Chris Salisbury |
| Abstract |
As the population ages, more people are suffering from long-term health conditions (LTCs). Health services around the world are exploring new ways of supporting people with LTCs and there is great interest in the use of telehealth: technologies such as the Internet, telephone and home self-monitoring. |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 340 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 1% |
| Brazil | 1 | <1% |
| Norway | 1 | <1% |
| United States | 1 | <1% |
| Philippines | 1 | <1% |
| Unknown | 332 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 58 | 17% |
| Student > Master | 49 | 14% |
| Student > Ph. D. Student | 46 | 14% |
| Student > Bachelor | 28 | 8% |
| Student > Doctoral Student | 25 | 7% |
| Other | 59 | 17% |
| Unknown | 75 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 67 | 20% |
| Psychology | 58 | 17% |
| Nursing and Health Professions | 45 | 13% |
| Social Sciences | 29 | 9% |
| Computer Science | 9 | 3% |
| Other | 45 | 13% |
| Unknown | 87 | 26% |