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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Value and level of circulating endothelial progenitor cells, angiogenesis factors and mononuclear cell apoptosis in patients with chronic kidney disease
|
|---|---|
| Published in |
Clinical and Experimental Nephrology, July 2012
|
| DOI | 10.1007/s10157-012-0664-9 |
| Pubmed ID | |
| Authors |
Yen-Ta Chen, Ben-Chung Cheng, Sheung-Fat Ko, Chih-Hung Chen, Tzu-Hsien Tsai, Steve Leu, Hsueh-Wen Chang, Sheng-Ying Chung, Sarah Chua, Kuo-Ho Yeh, Yung-Lung Chen, Hon-Kan Yip |
| Abstract |
Chronic renal failure on dialysis can reduce the number of circulating endothelial progenitor cells (EPCs), but this biomarker has not been fully investigated in patients with chronic kidney disease (CKD). A link between CKD and increased mononuclear cell apoptosis (MCA) in circulation has been reported but the effect of vascular endothelial growth factor (VEGF) and stromal cell-derived factor (SDF)-1α, two angiogenesis factors, on circulating EPC levels in CKD has not been clarified. This study examined the relationships between the numbers of circulating EPCs and the severity of CKD, degree of MCA and serum levels of VEGF and SDF-1α in CKD patients. |
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 % |
|---|---|---|
| Unknown | 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 28% |
| Student > Ph. D. Student | 5 | 14% |
| Other | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Other | 9 | 25% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 56% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Agricultural and Biological Sciences | 2 | 6% |
| Chemical Engineering | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 6 | 17% |
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 21 July 2012.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from Clinical and Experimental Nephrology
#643
of 769 outputs
Outputs of similar age
#148,858
of 165,551 outputs
Outputs of similar age from Clinical and Experimental Nephrology
#4
of 4 outputs
Altmetric has tracked 23,849,058 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 769 research outputs from this source. They receive a mean Attention Score of 3.7. 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 165,551 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 4 others from the same source and published within six weeks on either side of this one.