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X Demographics
Mendeley readers
Attention Score in Context
| Title |
From Patient-Specific Mathematical Neuro-Oncology to Precision Medicine
|
|---|---|
| Published in |
Frontiers in oncology, January 2013
|
| DOI | 10.3389/fonc.2013.00062 |
| Pubmed ID | |
| Authors |
A. L. Baldock, R. C. Rockne, A. D. Boone, M. L. Neal, A. Hawkins-Daarud, D. M. Corwin, C. A. Bridge, L. A. Guyman, A. D. Trister, M. M. Mrugala, J. K. Rockhill, K. R. Swanson |
| Abstract |
Gliomas are notoriously aggressive, malignant brain tumors that have variable response to treatment. These patients often have poor prognosis, informed primarily by histopathology. Mathematical neuro-oncology (MNO) is a young and burgeoning field that leverages mathematical models to predict and quantify response to therapies. These mathematical models can form the basis of modern "precision medicine" approaches to tailor therapy in a patient-specific manner. Patient-specific models (PSMs) can be used to overcome imaging limitations, improve prognostic predictions, stratify patients, and assess treatment response in silico. The information gleaned from such models can aid in the construction and efficacy of clinical trials and treatment protocols, accelerating the pace of clinical research in the war on cancer. This review focuses on the growing translation of PSM to clinical neuro-oncology. It will also provide a forward-looking view on a new era of patient-specific MNO. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Switzerland | 2 | 33% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 6% |
| Germany | 2 | 2% |
| Venezuela, Bolivarian Republic of | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 84 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 24% |
| Researcher | 18 | 19% |
| Student > Doctoral Student | 8 | 9% |
| Student > Bachelor | 7 | 7% |
| Other | 6 | 6% |
| Other | 16 | 17% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 27% |
| Agricultural and Biological Sciences | 13 | 14% |
| Mathematics | 8 | 9% |
| Engineering | 7 | 7% |
| Computer Science | 7 | 7% |
| Other | 13 | 14% |
| Unknown | 21 | 22% |
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 09 June 2017.
All research outputs
#8,518,925
of 25,481,734 outputs
Outputs from Frontiers in oncology
#3,313
of 22,575 outputs
Outputs of similar age
#88,111
of 289,425 outputs
Outputs of similar age from Frontiers in oncology
#67
of 328 outputs
Altmetric has tracked 25,481,734 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 22,575 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 85% 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 289,425 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 69% of its contemporaries.
We're also able to compare this research output to 328 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.