| Title |
Diabetic retinopathy in predicting diabetic nephropathy in patients with type 2 diabetes and renal disease: a meta-analysis
|
|---|---|
| Published in |
Diabetologia, December 2012
|
| DOI | 10.1007/s00125-012-2796-6 |
| Pubmed ID | |
| Authors |
F. He, X. Xia, X. F. Wu, X. Q. Yu, F. X. Huang |
| Abstract |
The aim of this meta-analysis is to determine the predictive value of diabetic retinopathy in differentiating diabetic nephropathy from non-diabetic renal diseases in patients with type 2 diabetes and renal disease. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Canada | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 1% |
| Russia | 1 | <1% |
| Chile | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 164 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 20 | 12% |
| Researcher | 18 | 11% |
| Student > Master | 18 | 11% |
| Student > Ph. D. Student | 17 | 10% |
| Student > Bachelor | 14 | 8% |
| Other | 45 | 26% |
| Unknown | 38 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 89 | 52% |
| Agricultural and Biological Sciences | 7 | 4% |
| Biochemistry, Genetics and Molecular Biology | 7 | 4% |
| Nursing and Health Professions | 6 | 4% |
| Computer Science | 2 | 1% |
| Other | 19 | 11% |
| Unknown | 40 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 25 September 2020.
All research outputs
#6,385,333
of 22,689,790 outputs
Outputs from Diabetologia
#2,568
of 5,025 outputs
Outputs of similar age
#67,572
of 278,740 outputs
Outputs of similar age from Diabetologia
#5
of 41 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 5,025 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one is in the 47th percentile – i.e., 47% 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 278,740 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.