| Title |
OncDRS: An integrative clinical and genomic data platform for enabling translational research and precision medicine
|
|---|---|
| Published in |
Applied and Translational Genomics, September 2015
|
| DOI | 10.1016/j.atg.2015.08.005 |
| Pubmed ID | |
| Authors |
John Orechia, Ameet Pathak, Yunling Shi, Aniket Nawani, Andrey Belozerov, Caitlin Fontes, Camille Lakhiani, Chetan Jawale, Chetansharan Patel, Daniel Quinn, Dmitry Botvinnik, Eddie Mei, Elizabeth Cotter, James Byleckie, Mollie Ullman-Cullere, Padam Chhetri, Poornima Chalasani, Purushotham Karnam, Ronald Beaudoin, Sandeep Sahu, Yelena Belozerova, Jomol P. Mathew |
| Abstract |
We live in the genomic era of medicine, where a patient's genomic/molecular data is becoming increasingly important for disease diagnosis, identification of targeted therapy, and risk assessment for adverse reactions. However, decoding the genomic test results and integrating it with clinical data for retrospective studies and cohort identification for prospective clinical trials is still a challenging task. In order to overcome these barriers, we developed an overarching enterprise informatics framework for translational research and personalized medicine called Synergistic Patient and Research Knowledge Systems (SPARKS) and a suite of tools called Oncology Data Retrieval Systems (OncDRS). OncDRS enables seamless data integration, secure and self-navigated query and extraction of clinical and genomic data from heterogeneous sources. Within a year of release, the system has facilitated more than 1500 research queries and has delivered data for more than 50 research studies. |
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 Kingdom | 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 55 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 21% |
| Other | 7 | 13% |
| Student > Ph. D. Student | 6 | 11% |
| Professor | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 11 | 20% |
| Unknown | 14 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 36% |
| Computer Science | 7 | 13% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Agricultural and Biological Sciences | 3 | 5% |
| Mathematics | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 14 | 25% |
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 21 September 2015.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Applied and Translational Genomics
#80
of 99 outputs
Outputs of similar age
#205,679
of 280,717 outputs
Outputs of similar age from Applied and Translational Genomics
#10
of 13 outputs
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