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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Methods to identify, study and understand End-user participation in HIT development
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, September 2011
|
| DOI | 10.1186/1472-6947-11-57 |
| Pubmed ID | |
| Authors |
Anna Marie Høstgaard, Pernille Bertelsen, Christian Nøhr |
| Abstract |
Experience has shown that for new health-information-technology (HIT) to be suc-cessful clinicians must obtain positive clinical benefits as a result of its implementation and joint-ownership of the decisions made during the development process. A prerequisite for achieving both success criteria is real end-user-participation. Experience has also shown that further research into developing improved methods to collect more detailed information on social groups participating in HIT development is needed in order to support, facilitate and improve real end-user participation. |
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 % |
|---|---|---|
| Canada | 1 | 33% |
| United Kingdom | 1 | 33% |
| Australia | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Malaysia | 1 | <1% |
| South Africa | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 112 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 21% |
| Student > Ph. D. Student | 16 | 14% |
| Student > Doctoral Student | 11 | 9% |
| Researcher | 9 | 8% |
| Student > Bachelor | 8 | 7% |
| Other | 33 | 28% |
| Unknown | 16 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 22% |
| Medicine and Dentistry | 24 | 21% |
| Nursing and Health Professions | 12 | 10% |
| Engineering | 12 | 10% |
| Social Sciences | 7 | 6% |
| Other | 15 | 13% |
| Unknown | 21 | 18% |
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 25 March 2012.
All research outputs
#13,355,173
of 22,653,392 outputs
Outputs from BMC Medical Informatics and Decision Making
#978
of 1,977 outputs
Outputs of similar age
#82,394
of 131,738 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 14 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,977 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 47th percentile – i.e., 47% 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 131,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.