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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Translational bioinformatics in the cloud: an affordable alternative
|
|---|---|
| Published in |
Genome Medicine, August 2010
|
| DOI | 10.1186/gm172 |
| Pubmed ID | |
| Authors |
Joel T Dudley, Yannick Pouliot, Rong Chen, Alexander A Morgan, Atul J Butte |
| Abstract |
With the continued exponential expansion of publicly available genomic data and access to low-cost, high-throughput molecular technologies for profiling patient populations, computational technologies and informatics are becoming vital considerations in genomic medicine. Although cloud computing technology is being heralded as a key enabling technology for the future of genomic research, available case studies are limited to applications in the domain of high-throughput sequence data analysis. The goal of this study was to evaluate the computational and economic characteristics of cloud computing in performing a large-scale data integration and analysis representative of research problems in genomic medicine. We find that the cloud-based analysis compares favorably in both performance and cost in comparison to a local computational cluster, suggesting that cloud computing technologies might be a viable resource for facilitating large-scale translational research in genomic medicine. |
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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 9% |
| United Kingdom | 4 | 2% |
| Brazil | 3 | 2% |
| Netherlands | 3 | 2% |
| France | 2 | 1% |
| Korea, Republic of | 1 | <1% |
| Finland | 1 | <1% |
| New Zealand | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 6 | 3% |
| Unknown | 135 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 57 | 33% |
| Student > Ph. D. Student | 28 | 16% |
| Student > Master | 16 | 9% |
| Other | 15 | 9% |
| Professor | 11 | 6% |
| Other | 33 | 19% |
| Unknown | 12 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 72 | 42% |
| Computer Science | 34 | 20% |
| Medicine and Dentistry | 24 | 14% |
| Biochemistry, Genetics and Molecular Biology | 10 | 6% |
| Engineering | 6 | 3% |
| Other | 12 | 7% |
| Unknown | 14 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 06 April 2016.
All research outputs
#5,166,176
of 25,374,917 outputs
Outputs from Genome Medicine
#953
of 1,585 outputs
Outputs of similar age
#21,403
of 104,153 outputs
Outputs of similar age from Genome Medicine
#4
of 11 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 39th percentile – i.e., 39% 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 104,153 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 79% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.