| Title |
RD-Connect: An Integrated Platform Connecting Databases, Registries, Biobanks and Clinical Bioinformatics for Rare Disease Research
|
|---|---|
| Published in |
Journal of General Internal Medicine, July 2014
|
| DOI | 10.1007/s11606-014-2908-8 |
| Pubmed ID | |
| Authors |
Rachel Thompson, Louise Johnston, Domenica Taruscio, Lucia Monaco, Christophe Béroud, Ivo G. Gut, Mats G. Hansson, Peter-Bram A. ’t Hoen, George P. Patrinos, Hugh Dawkins, Monica Ensini, Kurt Zatloukal, David Koubi, Emma Heslop, Justin E. Paschall, Manuel Posada, Peter N. Robinson, Kate Bushby, Hanns Lochmüller |
| Abstract |
Research into rare diseases is typically fragmented by data type and disease. Individual efforts often have poor interoperability and do not systematically connect data across clinical phenotype, genomic data, biomaterial availability, and research/trial data sets. Such data must be linked at both an individual-patient and whole-cohort level to enable researchers to gain a complete view of their disease and patient population of interest. Data access and authorization procedures are required to allow researchers in multiple institutions to securely compare results and gain new insights. Funded by the European Union's Seventh Framework Programme under the International Rare Diseases Research Consortium (IRDiRC), RD-Connect is a global infrastructure project initiated in November 2012 that links genomic data with registries, biobanks, and clinical bioinformatics tools to produce a central research resource for rare diseases. |
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 % |
|---|---|---|
| United States | 4 | 25% |
| United Kingdom | 2 | 13% |
| Spain | 1 | 6% |
| Italy | 1 | 6% |
| Canada | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 56% |
| Scientists | 5 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 1% |
| United States | 2 | 1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 160 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 51 | 31% |
| Student > Ph. D. Student | 25 | 15% |
| Student > Master | 16 | 10% |
| Other | 11 | 7% |
| Student > Bachelor | 7 | 4% |
| Other | 28 | 17% |
| Unknown | 28 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 22% |
| Biochemistry, Genetics and Molecular Biology | 24 | 14% |
| Agricultural and Biological Sciences | 23 | 14% |
| Computer Science | 13 | 8% |
| Nursing and Health Professions | 6 | 4% |
| Other | 25 | 15% |
| Unknown | 39 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 25 February 2021.
All research outputs
#2,748,350
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#2,040
of 7,806 outputs
Outputs of similar age
#24,789
of 207,617 outputs
Outputs of similar age from Journal of General Internal Medicine
#24
of 99 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has gotten more attention than average, scoring higher than 73% 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 207,617 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 88% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.