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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling healthcare authorization and claim submissions using the openEHR dual-model approach
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2011
|
| DOI | 10.1186/1472-6947-11-60 |
| Pubmed ID | |
| Authors |
Rigoleta DM Dias, Timothy W Cook, Sergio M Freire |
| Abstract |
The TISS standard is a set of mandatory forms and electronic messages for healthcare authorization and claim submissions among healthcare plans and providers in Brazil. It is not based on formal models as the new generation of health informatics standards suggests. The objective of this paper is to model the TISS in terms of the openEHR archetype-based approach and integrate it into a patient-centered EHR architecture. |
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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| United States | 1 | 1% |
| Unknown | 74 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 21% |
| Student > Ph. D. Student | 15 | 19% |
| Researcher | 12 | 16% |
| Student > Doctoral Student | 4 | 5% |
| Professor | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 16 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 38% |
| Medicine and Dentistry | 8 | 10% |
| Social Sciences | 4 | 5% |
| Business, Management and Accounting | 3 | 4% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 12 | 16% |
| Unknown | 18 | 23% |
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 27 February 2014.
All research outputs
#14,137,641
of 22,653,392 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,100
of 1,978 outputs
Outputs of similar age
#88,902
of 135,950 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 16 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 38th percentile – i.e., 38% 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 135,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.