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Mendeley readers
Attention Score in Context
| Title |
Translational bioinformatics applications in genome medicine
|
|---|---|
| Published in |
Genome Medicine, June 2009
|
| DOI | 10.1186/gm64 |
| Pubmed ID | |
| Authors |
Atul J Butte |
| Abstract |
Although investigators using methodologies in bioinformatics have always been useful in genomic experimentation in analytic, engineering, and infrastructure support roles, only recently have bioinformaticians been able to have a primary scientific role in asking and answering questions on human health and disease. Here, I argue that this shift in role towards asking questions in medicine is now the next step needed for the field of bioinformatics. I outline four reasons why bioinformaticians are newly enabled to drive the questions in primary medical discovery: public availability of data, intersection of data across experiments, commoditization of methods, and streamlined validation. I also list four recommendations for bioinformaticians wishing to get more involved in translational research. |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 6% |
| United Kingdom | 2 | 2% |
| Brazil | 2 | 2% |
| Switzerland | 1 | 1% |
| France | 1 | 1% |
| Colombia | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| India | 1 | 1% |
| Unknown | 71 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 31% |
| Student > Ph. D. Student | 11 | 13% |
| Professor > Associate Professor | 10 | 12% |
| Other | 7 | 8% |
| Student > Master | 7 | 8% |
| Other | 12 | 14% |
| Unknown | 12 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 29% |
| Medicine and Dentistry | 20 | 24% |
| Computer Science | 16 | 19% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Immunology and Microbiology | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 12 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 October 2015.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Genome Medicine
#1,248
of 1,585 outputs
Outputs of similar age
#42,349
of 122,968 outputs
Outputs of similar age from Genome Medicine
#7
of 9 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 18th percentile – i.e., 18% 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 122,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.