| Title |
The Computer-based Health Evaluation Software (CHES): a software for electronic patient-reported outcome monitoring
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2012
|
| DOI | 10.1186/1472-6947-12-126 |
| Pubmed ID | |
| Authors |
Bernhard Holzner, Johannes M Giesinger, Jakob Pinggera, Stefan Zugal, Felix Schöpf, Anne S Oberguggenberger, Eva M Gamper, August Zabernigg, Barbara Weber, Gerhard Rumpold |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 2 | 22% |
| India | 2 | 22% |
| United States | 1 | 11% |
| Canada | 1 | 11% |
| Spain | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Practitioners (doctors, other healthcare professionals) | 3 | 33% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Brazil | 2 | 1% |
| Germany | 1 | <1% |
| Norway | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 142 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 22% |
| Student > Master | 21 | 14% |
| Student > Ph. D. Student | 15 | 10% |
| Student > Bachelor | 12 | 8% |
| Student > Doctoral Student | 11 | 7% |
| Other | 29 | 19% |
| Unknown | 31 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 27% |
| Psychology | 22 | 14% |
| Computer Science | 15 | 10% |
| Nursing and Health Professions | 12 | 8% |
| Social Sciences | 5 | 3% |
| Other | 22 | 14% |
| Unknown | 36 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 28 November 2014.
All research outputs
#5,465,341
of 25,837,817 outputs
Outputs from BMC Medical Informatics and Decision Making
#480
of 2,159 outputs
Outputs of similar age
#39,302
of 198,929 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 43 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 77% 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 198,929 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.