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Mendeley readers
Attention Score in Context
| Title |
An innovative electronic health record system for rare and complex diseases
|
|---|---|
| Published in |
BMC Bioinformatics, December 2015
|
| DOI | 10.1186/1471-2105-16-s19-s4 |
| Pubmed ID | |
| Authors |
Alessandra C Faria-Campos, Lucas A Hanke, Paulo HS Batista, Vinicius Garcia, Sérgio VA Campos |
| Abstract |
There exists a large number of rare and complex diseases that are neglected due to the difficulty in diagnosis and treatment. Being rare, they normally do not justify the costs of developing an especialized Electronic Health Record (EHR) system to assist doctors and patients of these diseases. In this work we propose the use of Computer applications known as Laboratory Information Management Systems (LIMS) to address this issue. In this work we describe a fully customizable EHR system that uses a workflow based LIMS with an easy to adapt interface for data collection and retrieval. This system can easily be customized to manage different types of medical data. The customization for a new disease can be done in a few hours with the help of a specialist. We have used the proposed system to manage data from patients of three complex diseases: neuromyelitis optica, paracoccidioidomycosis and adrenoleukodistrofy. These diseases have very different symptoms, exams, diagnostics and treatments, but the FluxMED system is able to manage these data in a highly specialized manner without any modifications to its code. |
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 % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 20% |
| Student > Bachelor | 7 | 17% |
| Researcher | 5 | 12% |
| Student > Ph. D. Student | 4 | 10% |
| Professor | 2 | 5% |
| Other | 9 | 22% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 22% |
| Medicine and Dentistry | 6 | 15% |
| Agricultural and Biological Sciences | 3 | 7% |
| Neuroscience | 3 | 7% |
| Engineering | 3 | 7% |
| Other | 10 | 24% |
| Unknown | 7 | 17% |
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 02 August 2016.
All research outputs
#17,779,578
of 22,836,570 outputs
Outputs from BMC Bioinformatics
#5,937
of 7,288 outputs
Outputs of similar age
#265,188
of 390,448 outputs
Outputs of similar age from BMC Bioinformatics
#123
of 146 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% 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 390,448 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.