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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Theoretical aspects and modelling of cellular decision making, cell killing and information-processing in photodynamic therapy of cancer
|
|---|---|
| Published in |
BMC Medical Genomics, November 2013
|
| DOI | 10.1186/1755-8794-6-s3-s3 |
| Pubmed ID | |
| Authors |
Ioannis Gkigkitzis |
| Abstract |
The aim of this report is to provide a mathematical model of the mechanism for making binary fate decisions about cell death or survival, during and after Photodynamic Therapy (PDT) treatment, and to supply the logical design for this decision mechanism as an application of rate distortion theory to the biochemical processing of information by the physical system of a cell. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 4% |
| Unknown | 24 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 16% |
| Student > Ph. D. Student | 3 | 12% |
| Lecturer | 3 | 12% |
| Student > Master | 3 | 12% |
| Researcher | 2 | 8% |
| Other | 5 | 20% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Medicine and Dentistry | 3 | 12% |
| Agricultural and Biological Sciences | 3 | 12% |
| Engineering | 3 | 12% |
| Social Sciences | 2 | 8% |
| Other | 5 | 20% |
| Unknown | 6 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 October 2014.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#1,315
of 2,444 outputs
Outputs of similar age
#140,753
of 225,250 outputs
Outputs of similar age from BMC Medical Genomics
#19
of 36 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 225,250 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.