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X Demographics
Mendeley readers
| Title |
Exploring potential chemical markers by metabolomics method for studying the processing mechanism of traditional Chinese medicine using RPLC-Q-TOF/MS: a case study of Radix Aconiti
|
|---|---|
| Published in |
BMC Chemistry, February 2013
|
| DOI | 10.1186/1752-153x-7-36 |
| Pubmed ID | |
| Authors |
Yubo Li, Yuming Wang, Lina Su, Lixin Li, Yanjun Zhang |
| Abstract |
Pao zhi is a common traditional approach that usually occurs before most herbs are prescribed whereby during processing, secondary plant metabolites are transformed, thus helping to increase potency, reduce toxicity and altering their effects. Using Radix Aconiti (Chuan Wu, CW) as a model herb, suitable chemical markers are crucial for studying the processing mechanisms of these herbs. |
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 % |
|---|---|---|
| China | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 4% |
| Unknown | 24 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 20% |
| Researcher | 5 | 20% |
| Student > Doctoral Student | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 7 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 5 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 16% |
| Agricultural and Biological Sciences | 4 | 16% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 5 | 20% |