| Title |
Filter Paper Blood Spot Enzyme Linked Immunoassay for Insulin and Application in the Evaluation of Determinants of Child Insulin Resistance
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0046752 |
| Pubmed ID | |
| Authors |
Richard M. Martin, Rita Patel, Alexander Zinovik, Michael S. Kramer, Emily Oken, Konstantin Vilchuck, Natalia Bogdanovich, Natalia Sergeichick, Robert Gunnarsson, Lisa Grufman, Ying Foo, Nina Gusina |
| Abstract |
In large-scale epidemiology, bloodspot sampling by fingerstick onto filter paper has many advantages, including ease and low costs of collection, processing and transport. We describe the development of an enzyme-linked immunoassay (ELISA) for quantifying insulin from dried blood spots and demonstrate its application in a large trial. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 19% |
| Student > Ph. D. Student | 8 | 17% |
| Student > Master | 7 | 15% |
| Student > Postgraduate | 4 | 9% |
| Student > Doctoral Student | 4 | 9% |
| Other | 7 | 15% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 23% |
| Nursing and Health Professions | 5 | 11% |
| Agricultural and Biological Sciences | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Engineering | 4 | 9% |
| Other | 9 | 19% |
| Unknown | 10 | 21% |