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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Medical diagnosis as a linguistic game
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2017
|
| DOI | 10.1186/s12911-017-0488-3 |
| Pubmed ID | |
| Authors |
Peter Fritz, Andreas Kleinhans, Florian Kuisle, Patricius Albu, Christine Fritz-Kuisle, Mark Dominik Alscher |
| Abstract |
We present a formalized medical knowledge system using a linguistic approach combined with a semantic net. Diseases are defined and coded by natural linguistic terms and linked via a complex network of attributes, categories, classes, lists and other semantic conditions. We have isolated more than 4600 disease entities (termed pathosoms using a made-up word) with more than 100.000 attributes sets (termed pathophemes using a made-up word) and a semantic net with more than 140.000 links. All major-medical thesauri like ICD, ICD-O and OPS are included. Memem7 is a linguistic approach to medical knowledge approach. With the system, we performed a proof of concept and we conclude from our data that our or similar approaches provides reliable and feasible tools for physicians given a formalized history taking is available. Our approach can be considered as both a linguistic game and a third opinion to a set of patient's data. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 2 | 11% |
| Lecturer | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Other | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 8 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 17% |
| Nursing and Health Professions | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Social Sciences | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 10 | 56% |
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 14 July 2017.
All research outputs
#18,560,904
of 22,988,380 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,581
of 2,003 outputs
Outputs of similar age
#239,245
of 312,577 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#33
of 43 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,003 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 312,577 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 43 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.