| Title |
Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes: results from the TEDDY study
|
|---|---|
| Published in |
Acta Diabetologica, August 2017
|
| DOI | 10.1007/s00592-017-1033-7 |
| Pubmed ID | |
| Authors |
Meike Köhler, Andreas Beyerlein, Kendra Vehik, Sonja Greven, Nikolaus Umlauf, Åke Lernmark, William A. Hagopian, Marian Rewers, Jin-Xiong She, Jorma Toppari, Beena Akolkar, Jeffrey P. Krischer, Ezio Bonifacio, Anette-G. Ziegler, TEDDY study group |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 23% |
| Other | 4 | 10% |
| Professor | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 9 | 23% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 49% |
| Nursing and Health Professions | 2 | 5% |
| Computer Science | 2 | 5% |
| Mathematics | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 11 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 September 2017.
All research outputs
#23,391,126
of 26,017,215 outputs
Outputs from Acta Diabetologica
#897
of 1,076 outputs
Outputs of similar age
#288,656
of 327,407 outputs
Outputs of similar age from Acta Diabetologica
#6
of 9 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,076 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 327,407 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.