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X Demographics
Mendeley readers
Title |
New insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis
|
---|---|
Published in |
BMC Chemistry, October 2020
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DOI | 10.1186/s13065-020-00718-x |
Pubmed ID | |
Authors |
Chenyu Lin, Joseph Skufca, Richard E. Partch |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 26% |
Student > Bachelor | 3 | 16% |
Student > Doctoral Student | 2 | 11% |
Lecturer > Senior Lecturer | 1 | 5% |
Professor | 1 | 5% |
Other | 1 | 5% |
Unknown | 6 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 7 | 37% |
Biochemistry, Genetics and Molecular Biology | 3 | 16% |
Environmental Science | 1 | 5% |
Computer Science | 1 | 5% |
Engineering | 1 | 5% |
Other | 0 | 0% |
Unknown | 6 | 32% |