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Mendeley readers
Title |
Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network
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Published in |
BMC Bioinformatics, December 2019
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DOI | 10.1186/s12859-019-3262-y |
Pubmed ID | |
Authors |
Qingxin Xiao, Weilu Li, Yuanzhong Kai, Peng Chen, Jun Zhang, Bing Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 90 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 10% |
Student > Master | 8 | 9% |
Researcher | 7 | 8% |
Student > Doctoral Student | 5 | 6% |
Student > Bachelor | 4 | 4% |
Other | 8 | 9% |
Unknown | 49 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 14% |
Agricultural and Biological Sciences | 9 | 10% |
Engineering | 6 | 7% |
Environmental Science | 1 | 1% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
Other | 6 | 7% |
Unknown | 54 | 60% |