Title |
Improving ITS sequence data for identification of plant pathogenic fungi
|
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Published in |
Fungal Diversity, May 2014
|
DOI | 10.1007/s13225-014-0291-8 |
Authors |
R. Henrik Nilsson, Kevin D. Hyde, Julia Pawłowska, Martin Ryberg, Leho Tedersoo, Anders Bjørnsgard Aas, Siti A. Alias, Artur Alves, Cajsa Lisa Anderson, Alexandre Antonelli, A. Elizabeth Arnold, Barbara Bahnmann, Mohammad Bahram, Johan Bengtsson-Palme, Anna Berlin, Sara Branco, Putarak Chomnunti, Asha Dissanayake, Rein Drenkhan, Hanna Friberg, Tobias Guldberg Frøslev, Bettina Halwachs, Martin Hartmann, Beatrice Henricot, Ruvishika Jayawardena, Ari Jumpponen, Håvard Kauserud, Sonja Koskela, Tomasz Kulik, Kare Liimatainen, Björn D. Lindahl, Daniel Lindner, Jian-Kui Liu, Sajeewa Maharachchikumbura, Dimuthu Manamgoda, Svante Martinsson, Maria Alice Neves, Tuula Niskanen, Stephan Nylinder, Olinto Liparini Pereira, Danilo Batista Pinho, Teresita M. Porter, Valentin Queloz, Taavi Riit, Marisol Sánchez-García, Filipe de Sousa, Emil Stefańczyk, Mariusz Tadych, Susumu Takamatsu, Qing Tian, Dhanushka Udayanga, Martin Unterseher, Zheng Wang, Saowanee Wikee, Jiye Yan, Ellen Larsson, Karl-Henrik Larsson, Urmas Kõljalg, Kessy Abarenkov |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 33% |
Canada | 1 | 17% |
United Kingdom | 1 | 17% |
France | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 3 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Brazil | 3 | 1% |
United Kingdom | 2 | <1% |
France | 1 | <1% |
Sweden | 1 | <1% |
Italy | 1 | <1% |
Canada | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 234 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 63 | 25% |
Student > Ph. D. Student | 47 | 19% |
Student > Master | 25 | 10% |
Student > Bachelor | 19 | 8% |
Student > Doctoral Student | 13 | 5% |
Other | 46 | 19% |
Unknown | 35 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 150 | 60% |
Environmental Science | 20 | 8% |
Biochemistry, Genetics and Molecular Biology | 16 | 6% |
Immunology and Microbiology | 4 | 2% |
Computer Science | 3 | 1% |
Other | 10 | 4% |
Unknown | 45 | 18% |