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Mendeley readers
Title |
Using ontologies to study cell transitions
|
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Published in |
Journal of Biomedical Semantics, October 2013
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DOI | 10.1186/2041-1480-4-25 |
Pubmed ID | |
Authors |
Georg Fuellen, Ludger Jansen, Ulf Leser, Andreas Kurtz |
Abstract |
Understanding, modelling and influencing the transition between different states of cells, be it reprogramming of somatic cells to pluripotency or trans-differentiation between cells, is a hot topic in current biomedical and cell-biological research. Nevertheless, the large body of published knowledge in this area is underused, as most results are only represented in natural language, impeding their finding, comparison, aggregation, and usage. Scientific understanding of the complex molecular mechanisms underlying cell transitions could be improved by making essential pieces of knowledge available in a formal (and thus computable) manner. |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 6% |
United States | 1 | 6% |
Portugal | 1 | 6% |
Unknown | 13 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 31% |
Student > Ph. D. Student | 3 | 19% |
Student > Master | 2 | 13% |
Student > Bachelor | 1 | 6% |
Professor | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 38% |
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Computer Science | 2 | 13% |
Mathematics | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 19% |