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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next-generation sequencing for viruses in children with rapid-onset type 1 diabetes
|
|---|---|
| Published in |
Diabetologia, May 2013
|
| DOI | 10.1007/s00125-013-2924-y |
| Pubmed ID | |
| Authors |
H.-S. Lee, T. Briese, C. Winkler, M. Rewers, E. Bonifacio, H. Hyoty, M. Pflueger, O. Simell, J. X. She, W. Hagopian, Å. Lernmark, B. Akolkar, J. P. Krischer, A. G. Ziegler, the TEDDY study group |
| Abstract |
Viruses are candidate causative agents in the pathogenesis of autoimmune (type 1) diabetes. We hypothesised that children with a rapid onset of type 1 diabetes may have been exposed to such agents shortly before the initiation of islet autoimmunity, possibly at high dose, and thus study of these children could help identify viruses involved in the development of autoimmune diabetes. |
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 % |
|---|---|---|
| Germany | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 31% |
| Student > Ph. D. Student | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 10 | 20% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 35% |
| Agricultural and Biological Sciences | 10 | 20% |
| Mathematics | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 February 2014.
All research outputs
#948,237
of 22,710,079 outputs
Outputs from Diabetologia
#525
of 5,029 outputs
Outputs of similar age
#7,829
of 193,636 outputs
Outputs of similar age from Diabetologia
#7
of 51 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,029 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 193,636 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.