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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Stages of use: consideration, initiation, utilization, and outcomes of an internet-mediated intervention
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2010
|
| DOI | 10.1186/1472-6947-10-73 |
| Pubmed ID | |
| Authors |
Teresa ML Chiu, Gunther Eysenbach |
| Abstract |
Attrition, or nonuse of the intervention, is a significant problem in e-health. However, the reasons for this phenomenon are poorly understood. Building on Eysenbach's "Law of Attrition", this study aimed to explore the usage behavior of users of e-health services. We used two theoretical models, Andersen's Behavioral Model of Health Service Utilization and Venkatesh's Unified Theory of Acceptance and Use of Technology, to explore the factors associated with uptake and use of an internet-mediated intervention for caregivers taking care of a family member with dementia. |
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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| United Kingdom | 2 | <1% |
| New Zealand | 2 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| Switzerland | 1 | <1% |
| Spain | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 275 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 52 | 18% |
| Student > Ph. D. Student | 49 | 17% |
| Student > Master | 35 | 12% |
| Student > Doctoral Student | 23 | 8% |
| Student > Bachelor | 23 | 8% |
| Other | 43 | 15% |
| Unknown | 63 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 46 | 16% |
| Psychology | 46 | 16% |
| Nursing and Health Professions | 40 | 14% |
| Social Sciences | 24 | 8% |
| Business, Management and Accounting | 23 | 8% |
| Other | 44 | 15% |
| Unknown | 65 | 23% |
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 10 October 2014.
All research outputs
#15,247,248
of 22,671,366 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,306
of 1,978 outputs
Outputs of similar age
#140,122
of 179,716 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#11
of 13 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 179,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% 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.