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Mendeley readers
Attention Score in Context
| Title |
Cancer dormancy and criticality from a game theory perspective
|
|---|---|
| Published in |
Cancer Convergence, January 2018
|
| DOI | 10.1186/s41236-018-0008-0 |
| Pubmed ID | |
| Authors |
Amy Wu, David Liao, Vlamimir Kirilin, Ke-Chih Lin, Gonzalo Torga, Junle Qu, Liyu Liu, James C. Sturm, Kenneth Pienta, Robert Austin |
| Abstract |
The physics of cancer dormancy, the time between initial cancer treatment and re-emergence after a protracted period, is a puzzle. Cancer cells interact with host cells via complex, non-linear population dynamics, which can lead to very non-intuitive but perhaps deterministic and understandable progression dynamics of cancer and dormancy. We explore here the dynamics of host-cancer cell populations in the presence of (1) payoffs gradients and (2) perturbations due to cell migration. We determine to what extent the time-dependence of the populations can be quantitively understood in spite of the underlying complexity of the individual agents and model the phenomena of dormancy. |
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 % |
|---|---|---|
| United States | 5 | 63% |
| Taiwan | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Other | 1 | 5% |
| Other | 4 | 21% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 21% |
| Physics and Astronomy | 4 | 21% |
| Agricultural and Biological Sciences | 1 | 5% |
| Computer Science | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 6 | 32% |
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 24 April 2018.
All research outputs
#5,784,731
of 23,018,998 outputs
Outputs from Cancer Convergence
#3
of 7 outputs
Outputs of similar age
#116,348
of 441,076 outputs
Outputs of similar age from Cancer Convergence
#3
of 3 outputs
Altmetric has tracked 23,018,998 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 7 research outputs from this source. They receive a mean Attention Score of 4.7. This one scored the same or higher as 4 of them.
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 441,076 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 3 others from the same source and published within six weeks on either side of this one.