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X Demographics
Mendeley readers
Attention Score in Context
Title |
Predictive, preventive, personalized and participatory medicine: back to the future
|
---|---|
Published in |
Genome Medicine, August 2010
|
DOI | 10.1186/gm178 |
Pubmed ID | |
Authors |
Charles Auffray, Dominique Charron, Leroy Hood |
Abstract |
The pioneering work of Jean Dausset on the HLA system established several principles that were later reflected in the Human Genome Project and contributed to the foundations of predictive, preventive, personalized and participatory (P4) medicine. To effectively develop systems medicine, we should take advantage of the lessons of the HLA saga, emphasizing the importance of exploring a fascinating but mysterious biology, now using systems principles, pioneering new technology developments and creating shared biological and information resources. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 4% |
Sweden | 2 | 1% |
Spain | 2 | 1% |
Germany | 1 | <1% |
Korea, Republic of | 1 | <1% |
Netherlands | 1 | <1% |
Colombia | 1 | <1% |
France | 1 | <1% |
Unknown | 126 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 36 | 26% |
Student > Ph. D. Student | 17 | 12% |
Professor > Associate Professor | 12 | 9% |
Student > Master | 12 | 9% |
Other | 10 | 7% |
Other | 24 | 17% |
Unknown | 29 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 32 | 23% |
Agricultural and Biological Sciences | 24 | 17% |
Biochemistry, Genetics and Molecular Biology | 14 | 10% |
Computer Science | 10 | 7% |
Immunology and Microbiology | 4 | 3% |
Other | 22 | 16% |
Unknown | 34 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 08 October 2019.
All research outputs
#1,951,211
of 25,374,917 outputs
Outputs from Genome Medicine
#435
of 1,585 outputs
Outputs of similar age
#6,781
of 103,405 outputs
Outputs of similar age from Genome Medicine
#1
of 12 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% 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 has gotten more attention than average, scoring higher than 72% 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 103,405 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.