Title |
The road to precision oncology
|
---|---|
Published in |
Nature Genetics, February 2017
|
DOI | 10.1038/ng.3796 |
Pubmed ID | |
Authors |
Andrew V Biankin |
Abstract |
The ultimate goal of precision medicine is to use population-based molecular, clinical and other data to make individually tailored clinical decisions for patients, although the path to achieving this goal is not entirely clear. A new study shows how knowledge banks of patient data can be used to make individual treatment decisions in acute myeloid leukemia. |
X Demographics
The data shown below were collected from the profiles of 123 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 | 29 | 24% |
United Kingdom | 13 | 11% |
France | 8 | 7% |
Germany | 6 | 5% |
Spain | 5 | 4% |
Australia | 4 | 3% |
Switzerland | 2 | 2% |
Singapore | 2 | 2% |
Netherlands | 2 | 2% |
Other | 15 | 12% |
Unknown | 37 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 60 | 49% |
Scientists | 54 | 44% |
Practitioners (doctors, other healthcare professionals) | 5 | 4% |
Science communicators (journalists, bloggers, editors) | 4 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Belgium | 1 | 1% |
Unknown | 71 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 26% |
Researcher | 18 | 25% |
Other | 8 | 11% |
Student > Master | 5 | 7% |
Student > Doctoral Student | 3 | 4% |
Other | 6 | 8% |
Unknown | 14 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 17 | 23% |
Medicine and Dentistry | 13 | 18% |
Agricultural and Biological Sciences | 13 | 18% |
Computer Science | 4 | 5% |
Engineering | 3 | 4% |
Other | 6 | 8% |
Unknown | 17 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 68. 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 12 July 2017.
All research outputs
#636,920
of 25,559,053 outputs
Outputs from Nature Genetics
#1,227
of 7,592 outputs
Outputs of similar age
#13,232
of 325,335 outputs
Outputs of similar age from Nature Genetics
#43
of 81 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,592 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has done well, scoring higher than 83% 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 325,335 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 95% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.