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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mathematical modeling of apoptosis
|
|---|---|
| Published in |
Cell Communication and Signaling, June 2013
|
| DOI | 10.1186/1478-811x-11-44 |
| Pubmed ID | |
| Authors |
Kolja Schleich, Inna N Lavrik |
| Abstract |
Apoptosis is a form of programmed cell death, which is fundamental to all multicellular organisms. Deregulation of apoptosis leads to a number of severe diseases including cancer. Apoptosis is initiated either by extrinsic signals via stimulation of receptors at the cellular surface or intrinsic signals, such as DNA damage or growth factor withdrawal. Apoptosis has been extensively studied using systems biology which substantially contributed to the understanding of this death signaling network. This review gives an overview of mathematical models of apoptosis and the potential of systems biology to contribute to the development of novel therapies for cancer or other apoptosis-related diseases. |
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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | <1% |
| Netherlands | 1 | <1% |
| Norway | 1 | <1% |
| Russia | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 151 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 25% |
| Student > Bachelor | 23 | 15% |
| Researcher | 21 | 13% |
| Student > Master | 18 | 11% |
| Student > Doctoral Student | 13 | 8% |
| Other | 18 | 11% |
| Unknown | 24 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 29% |
| Biochemistry, Genetics and Molecular Biology | 32 | 20% |
| Medicine and Dentistry | 11 | 7% |
| Engineering | 9 | 6% |
| Mathematics | 7 | 4% |
| Other | 23 | 15% |
| Unknown | 30 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 27 January 2016.
All research outputs
#3,414,665
of 25,371,288 outputs
Outputs from Cell Communication and Signaling
#94
of 1,499 outputs
Outputs of similar age
#28,536
of 208,802 outputs
Outputs of similar age from Cell Communication and Signaling
#3
of 9 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,499 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 93% 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 208,802 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.