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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The biorepository portal toolkit: an honest brokered, modular service oriented software tool set for biospecimen-driven translational research
|
|---|---|
| Published in |
BMC Genomics, August 2016
|
| DOI | 10.1186/s12864-016-2797-9 |
| Pubmed ID | |
| Authors |
Alex S. Felmeister, Aaron J. Masino, Tyler J. Rivera, Adam C. Resnick, Jeffrey W. Pennington |
| Abstract |
High throughput molecular sequencing and increased biospecimen variety have introduced significant informatics challenges for research biorepository infrastructures. We applied a modular system integration approach to develop an operational biorepository management system. This method enables aggregation of the clinical, specimen and genomic data collected for biorepository resources. We introduce an electronic Honest Broker (eHB) and Biorepository Portal (BRP) open source project that, in tandem, allow for data integration while protecting patient privacy. This modular approach allows data and specimens to be associated with a biorepository subject at any time point asynchronously. This lowers the bar to develop new research projects based on scientific merit without institutional review for a proposal. By facilitating the automated de-identification of specimen and associated clinical and genomic data we create a future proofed specimen set that can withstand new workflows and be connected to new associated information over time. Thus facilitating collaborative advanced genomic and tissue research. As of Janurary of 2016 there are 23 unique protocols/patient cohorts being managed in the Biorepository Portal (BRP). There are over 4000 unique subject records in the electronic honest broker (eHB), over 30,000 specimens accessioned and 8 institutions participating in various biobanking activities using this tool kit. We specifically set out to build rich annotation of biospecimens with longitudinal clinical data; BRP/REDCap integration for multi-institutional repositories; EMR integration; further annotated specimens with genomic data specific to a domain; build application hooks for experiments at the specimen level integrated with analytic software; while protecting privacy per the Office of Civil Rights (OCR) and HIPAA. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 6% |
| United Kingdom | 1 | 6% |
| Congo | 1 | 6% |
| United States | 1 | 6% |
| Montenegro | 1 | 6% |
| Canada | 1 | 6% |
| Unknown | 10 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 3 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 70 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 23% |
| Student > Master | 11 | 15% |
| Student > Ph. D. Student | 7 | 10% |
| Professor > Associate Professor | 6 | 8% |
| Student > Bachelor | 5 | 7% |
| Other | 11 | 15% |
| Unknown | 16 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 27% |
| Computer Science | 11 | 15% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Engineering | 5 | 7% |
| Agricultural and Biological Sciences | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 16 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 27 March 2017.
All research outputs
#4,187,770
of 25,257,066 outputs
Outputs from BMC Genomics
#1,540
of 11,206 outputs
Outputs of similar age
#66,431
of 351,894 outputs
Outputs of similar age from BMC Genomics
#39
of 265 outputs
Altmetric has tracked 25,257,066 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,206 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 86% 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 351,894 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.