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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Probing the role of stochasticity in a model of the embryonic stem cell – heterogeneous gene expression and reprogramming efficiency
|
|---|---|
| Published in |
BMC Systems Biology, August 2012
|
| DOI | 10.1186/1752-0509-6-98 |
| Pubmed ID | |
| Authors |
Vijay Chickarmane, Victor Olariu, Carsten Peterson |
| Abstract |
Embryonic stem cells (ESC) have the capacity to self-renew and remain pluripotent, while continuously providing a source of a variety of differentiated cell types. Understanding what governs these properties at the molecular level is crucial for stem cell biology and its application to regenerative medicine. Of particular relevance is to elucidate those molecular interactions which govern the reprogramming of somatic cells into ESC. A computational approach can be used as a framework to explore the dynamics of a simplified network of the ESC with the aim to understand how stem cells differentiate and also how they can be reprogrammed from somatic cells. |
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 % |
|---|---|---|
| United States | 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Portugal | 1 | 1% |
| Czechia | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 76 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 28% |
| Researcher | 17 | 21% |
| Student > Master | 12 | 15% |
| Student > Doctoral Student | 8 | 10% |
| Student > Bachelor | 5 | 6% |
| Other | 8 | 10% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 48% |
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Engineering | 7 | 9% |
| Computer Science | 6 | 7% |
| Mathematics | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 7 | 9% |
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 16 August 2012.
All research outputs
#17,662,702
of 22,673,450 outputs
Outputs from BMC Systems Biology
#770
of 1,142 outputs
Outputs of similar age
#123,893
of 167,391 outputs
Outputs of similar age from BMC Systems Biology
#21
of 29 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 27th percentile – i.e., 27% 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 167,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% 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 is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.