Title
Biobibliometrics & gene connections
Abstract
In recent years there has been an increasingly amount of data stored in biomedical Databases. The information provided by scientist is stored but it is difficult to be analyzed based on specific parameters. New Scientific fields as Bioinformatics seem to be the tool needed to extract scientifically important data based on experimental results and information provided by papers and journals. In this paper we will propose a solution to the problem in hand, based on biobliometrics, statistical analysis and Bioinformatics. The proposed system could become a useful tool against the struggle of scientists and medical professionals in the near future.
Year
DOI
Venue
2015
10.1109/IISA.2015.7387989
2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)
Keywords
Field
DocType
MedLine,Bioinformatics,co-citation coupling,bibliometrics,PubMed,unattended system,gene
Information retrieval,Computer science,Bibliometrics,MEDLINE,Statistical analysis
Conference
Citations 
PageRank 
References 
1
0.43
6
Authors
4
Name
Order
Citations
PageRank
Yannis Martzoukos110.43
Sozon Papavlasopoulos2214.79
Maria Syrrou310.43
Marios Poulos410915.71