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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling heterogeneous responsiveness of intrinsic apoptosis pathway
|
|---|---|
| Published in |
BMC Systems Biology, July 2013
|
| DOI | 10.1186/1752-0509-7-65 |
| Pubmed ID | |
| Authors |
Hsu Kiang Ooi, Lan Ma |
| Abstract |
Apoptosis is a cell suicide mechanism that enables multicellular organisms to maintain homeostasis and to eliminate individual cells that threaten the organism's survival. Dependent on the type of stimulus, apoptosis can be propagated by extrinsic pathway or intrinsic pathway. The comprehensive understanding of the molecular mechanism of apoptotic signaling allows for development of mathematical models, aiming to elucidate dynamical and systems properties of apoptotic signaling networks. There have been extensive efforts in modeling deterministic apoptosis network accounting for average behavior of a population of cells. Cellular networks, however, are inherently stochastic and significant cell-to-cell variability in apoptosis response has been observed at single cell level. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Canada | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 90 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 21% |
| Student > Ph. D. Student | 17 | 18% |
| Student > Master | 16 | 17% |
| Researcher | 10 | 11% |
| Student > Doctoral Student | 5 | 5% |
| Other | 13 | 14% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 29% |
| Agricultural and Biological Sciences | 18 | 20% |
| Medicine and Dentistry | 8 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 8% |
| Engineering | 5 | 5% |
| Other | 16 | 17% |
| Unknown | 11 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 November 2020.
All research outputs
#16,061,963
of 25,394,764 outputs
Outputs from BMC Systems Biology
#556
of 1,132 outputs
Outputs of similar age
#121,157
of 209,285 outputs
Outputs of similar age from BMC Systems Biology
#9
of 29 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 46th percentile – i.e., 46% 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 209,285 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.