The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Title |
Identification and characterization of plastid-type proteins from sequence-attributed features using machine learning
|
---|---|
Published in |
BMC Bioinformatics, October 2013
|
DOI | 10.1186/1471-2105-14-s14-s7 |
Pubmed ID | |
Authors |
Rakesh Kaundal, Sitanshu S Sahu, Ruchi Verma, Tyler Weirick |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 2% |
Unknown | 46 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 23% |
Student > Master | 5 | 11% |
Student > Bachelor | 4 | 9% |
Student > Doctoral Student | 3 | 6% |
Professor | 2 | 4% |
Other | 7 | 15% |
Unknown | 15 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 15 | 32% |
Computer Science | 6 | 13% |
Biochemistry, Genetics and Molecular Biology | 4 | 9% |
Medicine and Dentistry | 2 | 4% |
Engineering | 2 | 4% |
Other | 2 | 4% |
Unknown | 16 | 34% |