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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cancer as a dynamical phase transition
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, August 2011
|
| DOI | 10.1186/1742-4682-8-30 |
| Pubmed ID | |
| Authors |
Paul CW Davies, Lloyd Demetrius, Jack A Tuszynski |
| Abstract |
This paper discusses the properties of cancer cells from a new perspective based on an analogy with phase transitions in physical systems. Similarities in terms of instabilities and attractor states are outlined and differences discussed. While physical phase transitions typically occur at or near thermodynamic equilibrium, a normal-to-cancer (NTC) transition is a dynamical non-equilibrium phenomenon, which depends on both metabolic energy supply and local physiological conditions. A number of implications for preventative and therapeutic strategies are outlined. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Australia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 6% |
| Germany | 2 | 1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| Argentina | 1 | <1% |
| Unknown | 131 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 24% |
| Student > Ph. D. Student | 34 | 23% |
| Student > Bachelor | 16 | 11% |
| Student > Master | 12 | 8% |
| Student > Doctoral Student | 8 | 5% |
| Other | 27 | 18% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 22% |
| Physics and Astronomy | 30 | 20% |
| Biochemistry, Genetics and Molecular Biology | 15 | 10% |
| Medicine and Dentistry | 12 | 8% |
| Engineering | 12 | 8% |
| Other | 28 | 19% |
| Unknown | 18 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 19 October 2021.
All research outputs
#1,220,245
of 24,996,701 outputs
Outputs from Theoretical Biology and Medical Modelling
#15
of 284 outputs
Outputs of similar age
#5,050
of 128,403 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#2
of 6 outputs
Altmetric has tracked 24,996,701 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 284 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 95% 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 128,403 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 96% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.