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Mendeley readers
Attention Score in Context
| Title |
Optimal treatment and stochastic modeling of heterogeneous tumors
|
|---|---|
| Published in |
Biology Direct, August 2016
|
| DOI | 10.1186/s13062-016-0142-5 |
| Pubmed ID | |
| Authors |
Hamidreza Badri, Kevin Leder |
| Abstract |
In this work we review past articles that have mathematically studied cancer heterogeneity and the impact of this heterogeneity on the structure of optimal therapy. We look at past works on modeling how heterogeneous tumors respond to radiotherapy, and take a particularly close look at how the optimal radiotherapy schedule is modified by the presence of heterogeneity. In addition, we review past works on the study of optimal chemotherapy when dealing with heterogeneous tumors. This article was reviewed by Thomas McDonald, David Axelrod, and Leonid Hanin. |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| France | 1 | 3% |
| Unknown | 27 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 24% |
| Researcher | 7 | 24% |
| Professor > Associate Professor | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 21% |
| Mathematics | 4 | 14% |
| Physics and Astronomy | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Computer Science | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 7 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 August 2016.
All research outputs
#5,762,909
of 22,883,326 outputs
Outputs from Biology Direct
#211
of 487 outputs
Outputs of similar age
#91,210
of 342,845 outputs
Outputs of similar age from Biology Direct
#8
of 16 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 56% 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 342,845 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 72% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.