| Title |
Data-driven metabolic subtypes predict future adverse events in individuals with type 1 diabetes
|
|---|---|
| Published in |
Diabetologia, April 2017
|
| DOI | 10.1007/s00125-017-4273-8 |
| Pubmed ID | |
| Authors |
Raija Lithovius, Iiro Toppila, Valma Harjutsalo, Carol Forsblom, Per-Henrik Groop, Ville-Petteri Mäkinen, on behalf of the FinnDiane Study Group |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 7% |
| Serbia | 1 | 7% |
| Canada | 1 | 7% |
| United States | 1 | 7% |
| United Kingdom | 1 | 7% |
| Germany | 1 | 7% |
| Finland | 1 | 7% |
| Unknown | 8 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 60% |
| Practitioners (doctors, other healthcare professionals) | 3 | 20% |
| Scientists | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 12% |
| Student > Bachelor | 5 | 12% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Librarian | 2 | 5% |
| Other | 8 | 20% |
| Unknown | 14 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 34% |
| Nursing and Health Professions | 4 | 10% |
| Agricultural and Biological Sciences | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 16 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 08 July 2017.
All research outputs
#4,720,485
of 26,017,215 outputs
Outputs from Diabetologia
#2,026
of 5,621 outputs
Outputs of similar age
#75,328
of 326,784 outputs
Outputs of similar age from Diabetologia
#52
of 76 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one has gotten more attention than average, scoring higher than 61% 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 326,784 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.