| Title |
Prediction models for the mortality risk in chronic dialysis patients: a systematic review and independent external validation study
|
|---|---|
| Published in |
Clinical Epidemiology, September 2017
|
| DOI | 10.2147/clep.s139748 |
| Pubmed ID | |
| Authors |
Chava L Ramspek, Pauline WM Voskamp, Frans J van Ittersum, Raymond T Krediet, Friedo W Dekker, Merel van Diepen |
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 % |
|---|---|---|
| India | 1 | 14% |
| United Kingdom | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 15% |
| Student > Bachelor | 5 | 12% |
| Student > Master | 4 | 10% |
| Student > Postgraduate | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 6 | 15% |
| Unknown | 14 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 27% |
| Nursing and Health Professions | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 15 | 37% |
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 14 June 2019.
All research outputs
#8,158,001
of 25,837,817 outputs
Outputs from Clinical Epidemiology
#311
of 806 outputs
Outputs of similar age
#117,556
of 325,874 outputs
Outputs of similar age from Clinical Epidemiology
#5
of 9 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 59% 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 325,874 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 63% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.