| Title |
Systems Biology Approaches Applied to Regenerative Medicine
|
|---|---|
| Published in |
Current Pathobiology Reports, February 2015
|
| DOI | 10.1007/s40139-015-0072-4 |
| Pubmed ID | |
| Authors |
Laura E. McNamara, Lesley-Anne Turner, Karl V. Burgess |
| Abstract |
Systems biology is the creation of theoretical and mathematical models for the study of biological systems, as an engine for hypothesis generation and to provide context to experimental data. It is underpinned by the collection and analysis of complex datasets from different biological systems, including global gene, RNA, protein and metabolite profiles. Regenerative medicine seeks to replace or repair tissues with compromised function (for example, through injury, deficiency or pathology), in order to improve their functionality. In this paper, we will address the application of systems biology approaches to the study of regenerative medicine, with a particular focus on approaches to study modifications to the genome, transcripts and small RNAs, proteins and metabolites. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Colombia | 1 | 4% |
| Germany | 1 | 4% |
| Switzerland | 1 | 4% |
| Unknown | 19 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 26% |
| Researcher | 4 | 17% |
| Student > Master | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 26% |
| Agricultural and Biological Sciences | 6 | 26% |
| Medicine and Dentistry | 4 | 17% |
| Neuroscience | 1 | 4% |
| Unknown | 6 | 26% |
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 28 February 2015.
All research outputs
#20,263,155
of 22,793,427 outputs
Outputs from Current Pathobiology Reports
#89
of 103 outputs
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#300,898
of 357,447 outputs
Outputs of similar age from Current Pathobiology Reports
#5
of 6 outputs
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