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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational framework to support integration of biomolecular and clinical data within a translational approach
|
|---|---|
| Published in |
BMC Bioinformatics, June 2013
|
| DOI | 10.1186/1471-2105-14-180 |
| Pubmed ID | |
| Authors |
Newton Shydeo Brandão Miyoshi, Daniel Guariz Pinheiro, Wilson Araújo Silva, Joaquim Cezar Felipe |
| Abstract |
The use of the knowledge produced by sciences to promote human health is the main goal of translational medicine. To make it feasible we need computational methods to handle the large amount of information that arises from bench to bedside and to deal with its heterogeneity. A computational challenge that must be faced is to promote the integration of clinical, socio-demographic and biological data. In this effort, ontologies play an essential role as a powerful artifact for knowledge representation. Chado is a modular ontology-oriented database model that gained popularity due to its robustness and flexibility as a generic platform to store biological data; however it lacks supporting representation of clinical and socio-demographic information. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Norway | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Chile | 1 | 1% |
| Brazil | 1 | 1% |
| Sweden | 1 | 1% |
| Netherlands | 1 | 1% |
| United Kingdom | 1 | 1% |
| Finland | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Denmark | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 76 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 22% |
| Researcher | 19 | 22% |
| Student > Master | 13 | 15% |
| Student > Bachelor | 10 | 11% |
| Other | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 9 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 32% |
| Medicine and Dentistry | 17 | 19% |
| Agricultural and Biological Sciences | 13 | 15% |
| Engineering | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 10 | 11% |
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 10 July 2013.
All research outputs
#13,890,926
of 22,711,645 outputs
Outputs from BMC Bioinformatics
#4,470
of 7,259 outputs
Outputs of similar age
#108,767
of 197,654 outputs
Outputs of similar age from BMC Bioinformatics
#69
of 109 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,259 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 35th percentile – i.e., 35% 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 197,654 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.