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Attention Score in Context
| Title |
Individualized medicine enabled by genomics in Saudi Arabia
|
|---|---|
| Published in |
BMC Medical Genomics, January 2015
|
| DOI | 10.1186/1755-8794-8-s1-s3 |
| Pubmed ID | |
| Authors |
Muhammad Abu-Elmagd, Mourad Assidi, Hans-Juergen Schulten, Ashraf Dallol, Peter Natesan Pushparaj, Farid Ahmed, Stephen W Scherer, Mohammed Al-Qahtani |
| Abstract |
The biomedical research sector in Saudi Arabia has recently received special attention from the government, which is currently supporting research aimed at improving the understanding and treatment of common diseases afflicting Saudi Arabian society. To build capacity for research and training, a number of centres of excellence were established in different areas of the country. Among these, is the Centre of Excellence in Genomic Medicine Research (CEGMR) at King Abdulaziz University, Jeddah, with its internationally ranked and highly productive team performing translational research in the area of individualized medicine. Here, we present a panorama of the recent trends in different areas of biomedical research in Saudi Arabia drawing from our vision of where genomics will have maximal impact in the Kingdom of Saudi Arabia. We describe advances in a number of research areas including; congenital malformations, infertility, consanguinity and pre-implantation genetic diagnosis, cancer and genomic classifications in Saudi Arabia, epigenetic explanations of idiopathic disease, and pharmacogenomics and personalized medicine. We conclude that CEGMR will continue to play a pivotal role in advances in the field of genomics and research in this area is facing a number of challenges including generating high quality control data from Saudi population and policies for using these data need to comply with the international set up. |
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 % |
|---|---|---|
| France | 1 | 50% |
| South Africa | 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 1% |
| Unknown | 81 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 13% |
| Student > Master | 10 | 12% |
| Researcher | 9 | 11% |
| Student > Bachelor | 9 | 11% |
| Professor > Associate Professor | 5 | 6% |
| Other | 8 | 10% |
| Unknown | 30 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 16% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Agricultural and Biological Sciences | 7 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
| Computer Science | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 35 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 May 2015.
All research outputs
#15,982,712
of 25,728,855 outputs
Outputs from BMC Medical Genomics
#1,055
of 2,453 outputs
Outputs of similar age
#205,988
of 379,432 outputs
Outputs of similar age from BMC Medical Genomics
#24
of 45 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,453 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 55% 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 379,432 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.