| Title |
The discovery of novel predictive biomarkers and early-stage pathophysiology for the transition from gestational diabetes to type 2 diabetes
|
|---|---|
| Published in |
Diabetologia, January 2019
|
| DOI | 10.1007/s00125-018-4800-2 |
| Pubmed ID | |
| Authors |
Saifur R. Khan, Haneesha Mohan, Ying Liu, Battsetseg Batchuluun, Himaben Gohil, Dana Al Rijjal, Yousef Manialawy, Brian J. Cox, Erica P. Gunderson, Michael B. Wheeler |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 43% |
| United States | 2 | 29% |
| United Kingdom | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 134 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 16% |
| Student > Ph. D. Student | 18 | 13% |
| Student > Bachelor | 18 | 13% |
| Researcher | 13 | 10% |
| Other | 7 | 5% |
| Other | 13 | 10% |
| Unknown | 43 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 20% |
| Biochemistry, Genetics and Molecular Biology | 12 | 9% |
| Nursing and Health Professions | 8 | 6% |
| Engineering | 6 | 4% |
| Computer Science | 5 | 4% |
| Other | 19 | 14% |
| Unknown | 57 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 26 February 2019.
All research outputs
#3,660,444
of 26,017,215 outputs
Outputs from Diabetologia
#1,709
of 5,621 outputs
Outputs of similar age
#83,302
of 469,954 outputs
Outputs of similar age from Diabetologia
#28
of 56 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 85th 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 68% 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 469,954 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 81% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.