Title |
A systematic sequencing-based approach for microbial contaminant detection and functional inference
|
---|---|
Published in |
BMC Biology, September 2019
|
DOI | 10.1186/s12915-019-0690-0 |
Pubmed ID | |
Authors |
Sung-Joon Park, Satoru Onizuka, Masahide Seki, Yutaka Suzuki, Takanori Iwata, Kenta Nakai |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 22% |
Nigeria | 1 | 11% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Scientists | 1 | 11% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 18% |
Student > Master | 6 | 14% |
Student > Ph. D. Student | 4 | 9% |
Student > Doctoral Student | 3 | 7% |
Student > Bachelor | 3 | 7% |
Other | 3 | 7% |
Unknown | 17 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 13 | 30% |
Medicine and Dentistry | 4 | 9% |
Agricultural and Biological Sciences | 3 | 7% |
Unspecified | 2 | 5% |
Veterinary Science and Veterinary Medicine | 2 | 5% |
Other | 3 | 7% |
Unknown | 17 | 39% |