| Title |
Differences between Human Plasma and Serum Metabolite Profiles
|
|---|---|
| Published in |
PLOS ONE, July 2011
|
| DOI | 10.1371/journal.pone.0021230 |
| Pubmed ID | |
| Authors |
Zhonghao Yu, Gabi Kastenmüller, Ying He, Petra Belcredi, Gabriele Möller, Cornelia Prehn, Joaquim Mendes, Simone Wahl, Werner Roemisch-Margl, Uta Ceglarek, Alexey Polonikov, Norbert Dahmen, Holger Prokisch, Lu Xie, Yixue Li, H. -Erich Wichmann, Annette Peters, Florian Kronenberg, Karsten Suhre, Jerzy Adamski, Thomas Illig, Rui Wang-Sattler |
| Abstract |
Human plasma and serum are widely used matrices in clinical and biological studies. However, different collecting procedures and the coagulation cascade influence concentrations of both proteins and metabolites in these matrices. The effects on metabolite concentration profiles have not been fully characterized. |
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 % |
|---|---|---|
| Qatar | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 719 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | <1% |
| United States | 4 | <1% |
| Spain | 3 | <1% |
| Belgium | 3 | <1% |
| Switzerland | 1 | <1% |
| Chile | 1 | <1% |
| Canada | 1 | <1% |
| South Africa | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 695 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 130 | 18% |
| Researcher | 115 | 16% |
| Student > Master | 104 | 14% |
| Student > Bachelor | 95 | 13% |
| Student > Doctoral Student | 33 | 5% |
| Other | 92 | 13% |
| Unknown | 150 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 131 | 18% |
| Biochemistry, Genetics and Molecular Biology | 116 | 16% |
| Medicine and Dentistry | 94 | 13% |
| Chemistry | 70 | 10% |
| Immunology and Microbiology | 21 | 3% |
| Other | 114 | 16% |
| Unknown | 173 | 24% |