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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of Readily Accessible Inflammatory Markers to Predict Diabetic Kidney Disease
|
|---|---|
| Published in |
Frontiers in endocrinology, May 2018
|
| DOI | 10.3389/fendo.2018.00225 |
| Pubmed ID | |
| Authors |
Lauren Winter, Lydia A. Wong, George Jerums, Jas-mine Seah, Michele Clarke, Sih Min Tan, Melinda T. Coughlan, Richard J. MacIsaac, Elif I. Ekinci |
| Abstract |
Diabetic kidney disease is a common complication of type 1 and type 2 diabetes and is the primary cause of end-stage renal disease in developed countries. Early detection of diabetic kidney disease will facilitate early intervention aimed at reducing the rate of progression to end-stage renal disease. Diabetic kidney disease has been traditionally classified based on the presence of albuminuria. More recently estimated glomerular filtration rate has also been incorporated into the staging of diabetic kidney disease. While albuminuric diabetic kidney disease is well described, the phenotype of non-albuminuric diabetic kidney disease is now widely accepted. An association between markers of inflammation and diabetic kidney disease has previously been demonstrated. Effector molecules of the innate immune system including C-reactive protein, interleukin-6, and tumor necrosis factor-α are increased in patients with diabetic kidney disease. Furthermore, renal infiltration of neutrophils, macrophages, and lymphocytes are observed in renal biopsies of patients with diabetic kidney disease. Similarly high serum neutrophil and low serum lymphocyte counts have been shown to be associated with diabetic kidney disease. The neutrophil-lymphocyte ratio is considered a robust measure of systemic inflammation and is associated with the presence of inflammatory conditions including the metabolic syndrome and insulin resistance. Cross-sectional studies have demonstrated a link between high levels of the above inflammatory biomarkers and diabetic kidney disease. Further longitudinal studies will be required to determine if these readily available inflammatory biomarkers can accurately predict the presence and prognosis of diabetic kidney disease, above and beyond albuminuria, and estimated glomerular filtration rate. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 19% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Postgraduate | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 21 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 31% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Immunology and Microbiology | 4 | 7% |
| Agricultural and Biological Sciences | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 23 | 40% |
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 22 May 2018.
All research outputs
#22,794,714
of 25,411,814 outputs
Outputs from Frontiers in endocrinology
#8,361
of 13,058 outputs
Outputs of similar age
#302,147
of 343,993 outputs
Outputs of similar age from Frontiers in endocrinology
#174
of 210 outputs
Altmetric has tracked 25,411,814 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 13,058 research outputs from this source. They receive a mean Attention Score of 4.9. 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 343,993 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 210 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.