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Genetic testing: ethical aspects

Overview of attention for article published in Open Medicine, July 2018
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35 Mendeley
Title
Genetic testing: ethical aspects
Published in
Open Medicine, July 2018
DOI 10.1515/med-2018-0038
Pubmed ID
Authors

Paola Bin, Adelaide Conti, Emanuele Capasso, Piergiorgio Fedeli, Fabio Policino, Claudia Casella, Paola Delbon, Vincenzo Graziano

Abstract

The aim of this article is to provide an analysis of the main issues related to the application of predictive medicine by analysing the most significant ethical implications. Genetic medicine is indeed a multidisciplinary matter that covers broad contexts, sometimes transversely. Its extreme complexity, coupled with possible perceived repercussions on an individual's life, involves important issues in the ethical, deontological and legal medical field. The aspects related to the execution of genetic testing have to be addressed at different levels, starting with the correct information about the "cognitive" meaning they intend (by forcefully disassociating it from the strange "preventive aspect") to the legal medical issues that can be aroused in the field of forensic pathology, medical responsibility and insurance. There is no doubt that in recent years, from the decoding of the human genome, genetic research has exponentially expanded with an equally exponential increase in its use in clinical practice and the ethical and social evolution of it.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 29%
Researcher 5 14%
Student > Ph. D. Student 4 11%
Student > Master 3 9%
Other 1 3%
Other 1 3%
Unknown 11 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 23%
Medicine and Dentistry 7 20%
Agricultural and Biological Sciences 3 9%
Nursing and Health Professions 2 6%
Immunology and Microbiology 1 3%
Other 3 9%
Unknown 11 31%
Attention Score in Context

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 17 July 2018.
All research outputs
#15,566,759
of 25,988,468 outputs
Outputs from Open Medicine
#61
of 95 outputs
Outputs of similar age
#184,884
of 344,178 outputs
Outputs of similar age from Open Medicine
#1
of 1 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 95 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 67% of its peers.
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 344,178 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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