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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A national clinical decision support infrastructure to enable the widespread and consistent practice of genomic and personalized medicine
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2009
|
| DOI | 10.1186/1472-6947-9-17 |
| Pubmed ID | |
| Authors |
Kensaku Kawamoto, David F Lobach, Huntington F Willard, Geoffrey S Ginsburg |
| Abstract |
In recent years, the completion of the Human Genome Project and other rapid advances in genomics have led to increasing anticipation of an era of genomic and personalized medicine, in which an individual's health is optimized through the use of all available patient data, including data on the individual's genome and its downstream products. Genomic and personalized medicine could transform healthcare systems and catalyze significant reductions in morbidity, mortality, and overall healthcare costs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 5% |
| United Kingdom | 4 | 2% |
| Netherlands | 3 | 2% |
| Sweden | 1 | <1% |
| Unknown | 148 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 20% |
| Student > Ph. D. Student | 30 | 18% |
| Student > Master | 26 | 16% |
| Student > Bachelor | 11 | 7% |
| Other | 10 | 6% |
| Other | 36 | 22% |
| Unknown | 19 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 38 | 23% |
| Medicine and Dentistry | 35 | 21% |
| Agricultural and Biological Sciences | 18 | 11% |
| Business, Management and Accounting | 11 | 7% |
| Nursing and Health Professions | 9 | 5% |
| Other | 30 | 18% |
| Unknown | 24 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 September 2014.
All research outputs
#6,928,728
of 22,719,618 outputs
Outputs from BMC Medical Informatics and Decision Making
#678
of 1,982 outputs
Outputs of similar age
#30,800
of 93,165 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 9 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 64% 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 93,165 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
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 6 of them.