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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Big Data and Comparative Effectiveness Research in Radiation Oncology: Synergy and Accelerated Discovery
|
|---|---|
| Published in |
Frontiers in oncology, December 2015
|
| DOI | 10.3389/fonc.2015.00274 |
| Pubmed ID | |
| Authors |
Daniel M. Trifiletti, Timothy N. Showalter |
| Abstract |
Several advances in large data set collection and processing have the potential to provide a wave of new insights and improvements in the use of radiation therapy for cancer treatment. The era of electronic health records, genomics, and improving information technology resources creates the opportunity to leverage these developments to create a learning healthcare system that can rapidly deliver informative clinical evidence. By merging concepts from comparative effectiveness research with the tools and analytic approaches of "big data," it is hoped that this union will accelerate discovery, improve evidence for decision making, and increase the availability of highly relevant, personalized information. This combination offers the potential to provide data and analysis that can be leveraged for ultra-personalized medicine and high-quality, cutting-edge radiation therapy. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 25% |
| Australia | 1 | 13% |
| United States | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 31% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 4 | 6% |
| Professor | 3 | 5% |
| Other | 12 | 19% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 31% |
| Computer Science | 8 | 13% |
| Engineering | 4 | 6% |
| Economics, Econometrics and Finance | 3 | 5% |
| Physics and Astronomy | 3 | 5% |
| Other | 11 | 18% |
| Unknown | 14 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 10 August 2016.
All research outputs
#7,376,361
of 25,584,565 outputs
Outputs from Frontiers in oncology
#2,575
of 22,718 outputs
Outputs of similar age
#105,648
of 396,557 outputs
Outputs of similar age from Frontiers in oncology
#12
of 71 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 22,718 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 88% 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 396,557 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 73% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.