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X Demographics
Mendeley readers
Attention Score in Context
| Title |
V-Model: a new perspective for EHR-based phenotyping
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2014
|
| DOI | 10.1186/1472-6947-14-90 |
| Pubmed ID | |
| Authors |
Heekyong Park, Jinwook Choi |
| Abstract |
Narrative resources in electronic health records make clinical phenotyping study difficult to achieve. If a narrative patient history can be represented in a timeline, this would greatly enhance the efficiency of information-based studies. However, current timeline representations have limitations in visualizing narrative events. In this paper, we propose a temporal model named the 'V-Model' which visualizes clinical narratives into a timeline. |
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) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 58 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 28% |
| Student > Master | 14 | 23% |
| Student > Ph. D. Student | 10 | 16% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 21% |
| Medicine and Dentistry | 10 | 16% |
| Nursing and Health Professions | 5 | 8% |
| Social Sciences | 4 | 7% |
| Business, Management and Accounting | 3 | 5% |
| Other | 11 | 18% |
| Unknown | 15 | 25% |
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 24 October 2014.
All research outputs
#14,788,263
of 22,768,097 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,225
of 1,984 outputs
Outputs of similar age
#143,927
of 260,450 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#18
of 29 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,984 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% 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 260,450 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 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.