Title |
Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0
|
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Published in |
Nature Protocols, February 2019
|
DOI | 10.1038/s41596-018-0098-2 |
Pubmed ID | |
Authors |
Laurent Heirendt, Sylvain Arreckx, Thomas Pfau, Sebastián N. Mendoza, Anne Richelle, Almut Heinken, Hulda S. Haraldsdóttir, Jacek Wachowiak, Sarah M. Keating, Vanja Vlasov, Stefania Magnusdóttir, Chiam Yu Ng, German Preciat, Alise Žagare, Siu H. J. Chan, Maike K. Aurich, Catherine M. Clancy, Jennifer Modamio, John T. Sauls, Alberto Noronha, Aarash Bordbar, Benjamin Cousins, Diana C. El Assal, Luis V. Valcarcel, Iñigo Apaolaza, Susan Ghaderi, Masoud Ahookhosh, Marouen Ben Guebila, Andrejs Kostromins, Nicolas Sompairac, Hoai M. Le, Ding Ma, Yuekai Sun, Lin Wang, James T. Yurkovich, Miguel A. P. Oliveira, Phan T. Vuong, Lemmer P. El Assal, Inna Kuperstein, Andrei Zinovyev, H. Scott Hinton, William A. Bryant, Francisco J. Aragón Artacho, Francisco J. Planes, Egils Stalidzans, Alejandro Maass, Santosh Vempala, Michael Hucka, Michael A. Saunders, Costas D. Maranas, Nathan E. Lewis, Thomas Sauter, Bernhard Ø. Palsson, Ines Thiele, Ronan M. T. Fleming |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 22% |
France | 3 | 9% |
United Kingdom | 2 | 6% |
India | 2 | 6% |
Ireland | 1 | 3% |
Switzerland | 1 | 3% |
Denmark | 1 | 3% |
Italy | 1 | 3% |
Australia | 1 | 3% |
Other | 2 | 6% |
Unknown | 11 | 34% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 16 | 50% |
Scientists | 14 | 44% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1010 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 202 | 20% |
Student > Master | 146 | 14% |
Researcher | 141 | 14% |
Student > Bachelor | 103 | 10% |
Student > Doctoral Student | 45 | 4% |
Other | 117 | 12% |
Unknown | 256 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 273 | 27% |
Agricultural and Biological Sciences | 126 | 12% |
Engineering | 70 | 7% |
Chemical Engineering | 62 | 6% |
Computer Science | 51 | 5% |
Other | 130 | 13% |
Unknown | 298 | 30% |