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X Demographics
Mendeley readers
Title |
Mitochondrial network morphology: building an integrative, geometrical view
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Published in |
BMC Biology, June 2013
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DOI | 10.1186/1741-7007-11-71 |
Pubmed ID | |
Authors |
Susanne M Rafelski |
Abstract |
The morphology of mitochondrial networks is complex and highly varied, yet vital to cell function. The first step toward an integrative understanding of how mitochondrial morphology is generated and regulated is to define the interdependent geometrical features and their dynamics that together generate the morphology of a mitochondrial network within a cell. Distinct aspects of the size, shape, position, and dynamics of mitochondrial networks are described and examples of how these features depend on one another discussed. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Chile | 1 | 25% |
Japan | 1 | 25% |
Mexico | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | <1% |
Germany | 3 | <1% |
France | 2 | <1% |
Portugal | 2 | <1% |
South Africa | 1 | <1% |
Ukraine | 1 | <1% |
United Kingdom | 1 | <1% |
Japan | 1 | <1% |
Spain | 1 | <1% |
Other | 0 | 0% |
Unknown | 291 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 68 | 22% |
Researcher | 58 | 19% |
Student > Bachelor | 38 | 12% |
Student > Master | 26 | 8% |
Student > Doctoral Student | 17 | 6% |
Other | 44 | 14% |
Unknown | 55 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 90 | 29% |
Biochemistry, Genetics and Molecular Biology | 75 | 25% |
Medicine and Dentistry | 24 | 8% |
Neuroscience | 12 | 4% |
Engineering | 10 | 3% |
Other | 37 | 12% |
Unknown | 58 | 19% |