Title |
Optimal follow-up intervals for different stages of chronic kidney disease: a prospective observational study
|
---|---|
Published in |
Clinical and Experimental Nephrology, January 2019
|
DOI | 10.1007/s10157-018-01684-4 |
Pubmed ID | |
Authors |
Keita Hirano, Daiki Kobayashi, Naoto Kohtani, Yukari Uemura, Yasuo Ohashi, Yasuhiro Komatsu, Motoko Yanagita, Akira Hishida |
X Demographics
The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 11 | 28% |
Spain | 3 | 8% |
Ecuador | 3 | 8% |
Argentina | 2 | 5% |
Puerto Rico | 1 | 3% |
Guatemala | 1 | 3% |
Sao Tome and Principe | 1 | 3% |
Venezuela, Bolivarian Republic of | 1 | 3% |
Colombia | 1 | 3% |
Other | 0 | 0% |
Unknown | 15 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 37 | 95% |
Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 25% |
Student > Bachelor | 3 | 11% |
Student > Ph. D. Student | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Student > Master | 1 | 4% |
Other | 3 | 11% |
Unknown | 10 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 36% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Computer Science | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Other | 2 | 7% |
Unknown | 12 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 August 2021.
All research outputs
#1,296,886
of 23,849,058 outputs
Outputs from Clinical and Experimental Nephrology
#13
of 769 outputs
Outputs of similar age
#32,419
of 441,809 outputs
Outputs of similar age from Clinical and Experimental Nephrology
#2
of 21 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 769 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 98% 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 441,809 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.