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Knowledge Acquisition for Medical Diagnosis Using Collective Intelligence

Overview of attention for article published in Journal of Medical Systems, October 2012
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Title
Knowledge Acquisition for Medical Diagnosis Using Collective Intelligence
Published in
Journal of Medical Systems, October 2012
DOI 10.1007/s10916-012-9886-3
Pubmed ID
Authors

G. Hernández-Chan, A. Rodríguez-González, G. Alor-Hernández, J. M. Gómez-Berbís, M. A. Mayer-Pujadas, R. Posada-Gómez

Abstract

The wisdom of the crowds (WOC) is the process of taking into account the collective opinion of a group of individuals rather than a single expert to answer a question. Based on this assumption, the use of processes based on WOC techniques to collect new biomedical knowledge represents a challenging and cutting-edge trend on biomedical knowledge acquisition. The work presented in this paper shows a new schema to collect diagnosis information in Diagnosis Decision Support Systems (DDSS) based on collective intelligence and consensus methods.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Canada 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Student > Master 6 17%
Student > Bachelor 4 11%
Student > Doctoral Student 4 11%
Researcher 4 11%
Other 10 28%
Unknown 2 6%
Readers by discipline Count As %
Computer Science 13 36%
Medicine and Dentistry 7 19%
Engineering 4 11%
Agricultural and Biological Sciences 3 8%
Business, Management and Accounting 1 3%
Other 4 11%
Unknown 4 11%
Attention Score in Context

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 13 June 2013.
All research outputs
#15,272,977
of 22,711,645 outputs
Outputs from Journal of Medical Systems
#655
of 1,144 outputs
Outputs of similar age
#115,934
of 183,439 outputs
Outputs of similar age from Journal of Medical Systems
#1
of 3 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 33rd percentile – i.e., 33% 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 183,439 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them