| Title |
The crucial role of multiomic approach in cancer research and clinically relevant outcomes
|
|---|---|
| Published in |
EPMA Journal, February 2018
|
| DOI | 10.1007/s13167-018-0128-8 |
| Pubmed ID | |
| Authors |
Miaolong Lu, Xianquan Zhan |
| Abstract |
Cancer with heavily economic and social burden is the hot point in the field of medical research. Some remarkable achievements have been made; however, the exact mechanisms of tumor initiation and development remain unclear. Cancer is a complex, whole-body disease that involves multiple abnormalities in the levels of DNA, RNA, protein, metabolite and medical imaging. Biological omics including genomics, transcriptomics, proteomics, metabolomics and radiomics aims to systematically understand carcinogenesis in different biological levels, which is driving the shift of cancer research paradigm from single parameter model to multi-parameter systematical model. The rapid development of various omics technologies is driving one to conveniently get multi-omics data, which accelerates predictive, preventive and personalized medicine (PPPM) practice allowing prediction of response with substantially increased accuracy, stratification of particular patients and eventual personalization of medicine. This review article describes the methodology, advances, and clinically relevant outcomes of different "omics" technologies in cancer research, and especially emphasizes the importance and scientific merit of integrating multi-omics in cancer research and clinically relevant outcomes. |
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 % |
|---|---|---|
| United States | 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 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 218 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 13% |
| Student > Bachelor | 29 | 13% |
| Researcher | 26 | 12% |
| Student > Master | 24 | 11% |
| Lecturer | 10 | 5% |
| Other | 34 | 16% |
| Unknown | 66 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 45 | 21% |
| Medicine and Dentistry | 28 | 13% |
| Agricultural and Biological Sciences | 18 | 8% |
| Computer Science | 14 | 6% |
| Engineering | 8 | 4% |
| Other | 33 | 15% |
| Unknown | 72 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 30 May 2023.
All research outputs
#4,991,959
of 24,337,175 outputs
Outputs from EPMA Journal
#70
of 324 outputs
Outputs of similar age
#91,585
of 335,034 outputs
Outputs of similar age from EPMA Journal
#1
of 3 outputs
Altmetric has tracked 24,337,175 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 324 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has done well, scoring higher than 78% of its peers.
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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