| Title |
Gut Microbiome Metagenomics Analysis Suggests a Functional Model for the Development of Autoimmunity for Type 1 Diabetes
|
|---|---|
| Published in |
PLOS ONE, October 2011
|
| DOI | 10.1371/journal.pone.0025792 |
| Pubmed ID | |
| Authors |
Christopher T. Brown, Austin G. Davis-Richardson, Adriana Giongo, Kelsey A. Gano, David B. Crabb, Nabanita Mukherjee, George Casella, Jennifer C. Drew, Jorma Ilonen, Mikael Knip, Heikki Hyöty, Riitta Veijola, Tuula Simell, Olli Simell, Josef Neu, Clive H. Wasserfall, Desmond Schatz, Mark A. Atkinson, Eric W. Triplett |
X Demographics
The data shown below were collected from the profiles of 8 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 | 8 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 770 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 1% |
| United Kingdom | 6 | <1% |
| Brazil | 3 | <1% |
| Netherlands | 2 | <1% |
| Sweden | 2 | <1% |
| Belgium | 2 | <1% |
| Denmark | 2 | <1% |
| Portugal | 1 | <1% |
| India | 1 | <1% |
| Other | 6 | <1% |
| Unknown | 735 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 149 | 19% |
| Researcher | 130 | 17% |
| Student > Bachelor | 111 | 14% |
| Student > Master | 99 | 13% |
| Student > Doctoral Student | 36 | 5% |
| Other | 113 | 15% |
| Unknown | 132 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 239 | 31% |
| Biochemistry, Genetics and Molecular Biology | 114 | 15% |
| Medicine and Dentistry | 105 | 14% |
| Immunology and Microbiology | 49 | 6% |
| Computer Science | 16 | 2% |
| Other | 86 | 11% |
| Unknown | 161 | 21% |