| Title |
The dbGaP data browser: a new tool for browsing dbGaP controlled-access genomic data
|
|---|---|
| Published in |
Nucleic Acids Research, November 2016
|
| DOI | 10.1093/nar/gkw1139 |
| Pubmed ID | |
| Authors |
Kira M. Wong, Kristofor Langlais, Geoffrey S. Tobias, Colette Fletcher-Hoppe, Donna Krasnewich, Hilary S. Leeds, Laura Lyman Rodriguez, Georgy Godynskiy, Valerie A. Schneider, Erin M. Ramos, Stephen T. Sherry |
| Abstract |
The database of Genotypes and Phenotypes (dbGaP) Data Browser (https://www.ncbi.nlm.nih.gov/gap/ddb/) was developed in response to requests from the scientific community for a resource that enable view-only access to summary-level information and individual-level genotype and sequence data associated with phenotypic features maintained in the controlled-access tier of dbGaP. Until now, the dbGaP controlled-access environment required investigators to submit a data access request, wait for Data Access Committee review, download each data set and locally examine them for potentially relevant information. Existing unrestricted-access genomic data browsing resources (e.g. http://evs.gs.washington.edu/EVS/, http://exac.broadinstitute.org/) provide only summary statistics or aggregate allele frequencies. The dbGaP Data Browser serves as a third solution, providing researchers with view-only access to a compilation of individual-level data from general research use (GRU) studies through a simplified controlled-access process. The National Institutes of Health (NIH) will continue to improve the Browser in response to user feedback and believes that this tool may decrease unnecessary download requests, while still facilitating responsible genomic data-sharing. |
X Demographics
The data shown below were collected from the profiles of 9 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 | 11% |
| United Kingdom | 1 | 11% |
| Belgium | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 28% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Bachelor | 5 | 9% |
| Other | 5 | 9% |
| Professor | 5 | 9% |
| Other | 8 | 15% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 28% |
| Agricultural and Biological Sciences | 8 | 15% |
| Computer Science | 5 | 9% |
| Medicine and Dentistry | 4 | 7% |
| Nursing and Health Professions | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 11 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 February 2017.
All research outputs
#2,156,737
of 25,040,629 outputs
Outputs from Nucleic Acids Research
#2,186
of 27,599 outputs
Outputs of similar age
#42,052
of 428,111 outputs
Outputs of similar age from Nucleic Acids Research
#51
of 307 outputs
Altmetric has tracked 25,040,629 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,599 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 91% 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 428,111 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 307 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.