| Title |
The Cancer Epidemiology Descriptive Cohort Database: A Tool to Support Population-Based Interdisciplinary Research
|
|---|---|
| Published in |
Cancer Epidemiology, Biomarkers & Prevention, October 2016
|
| DOI | 10.1158/1055-9965.epi-16-0412 |
| Pubmed ID | |
| Authors |
Amy E Kennedy, Muin J Khoury, John P A Ioannidis, Michelle Brotzman, Amy Miller, Crystal Lane, Gabriel Y Lai, Scott D Rogers, Chinonye Harvey, Joanne W Elena, Daniela Seminara |
| Abstract |
We report on the establishment of a web-based Cancer Epidemiology Descriptive Cohort Database (CEDCD). The CEDCD's goals are to: enhance awareness of resources, facilitate interdisciplinary research collaborations, and support existing cohorts for the study of cancer-related outcomes. Comprehensive descriptive data were collected from large cohorts established to study cancer as primary outcome, using a newly developed questionnaire. These included an inventory of baseline and follow-up data, biospecimens, genomics, policies and protocols. Additional descriptive data extracted from publicly available sources were also collected. This information was entered in a querable and publicly accessible database. We summarized the descriptive data across cohorts and reported the characteristics of this resource. As of December 2015, the CEDCD includes data from 46 cohorts representing more than 6.5 million individuals (29% ethnic/racial minorities). Overall, 78% of the cohorts have collected blood at least once, 57% at multiple time points, and 46% collected tissue samples. Genotyping has been performed by 67% of the cohorts, while 46% have performed whole genome or exome sequencing in subsets of enrolled individuals. Information on medical conditions other than cancer have been collected in over 50% of the cohorts. More than 600,000 incident cancer cases and over 40,000 prevalent cases are reported, with 24 cancer sites represented. The CEDCD assembles detailed descriptive information on a large number of cancer cohorts in a searchable database. Information from the CEDCD may assist the interdisciplinary research community by facilitating identification of well-established population resources and large-scale collaborative and integrative research. |
X Demographics
The data shown below were collected from the profiles of 2 X users 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 3% |
| Unknown | 32 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 21% |
| Researcher | 7 | 21% |
| Other | 4 | 12% |
| Student > Ph. D. Student | 3 | 9% |
| Librarian | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 24% |
| Nursing and Health Professions | 3 | 9% |
| Computer Science | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 9 | 27% |
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 05 October 2016.
All research outputs
#19,942,887
of 25,373,627 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#3,676
of 4,847 outputs
Outputs of similar age
#243,600
of 331,903 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#22
of 33 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,847 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one is in the 20th percentile – i.e., 20% 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 331,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.