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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Eligibility for the kidney transplant wait list: a model for conceptualizing patient risk
|
|---|---|
| Published in |
Transplantation Research, January 2014
|
| DOI | 10.1186/2047-1440-3-2 |
| Pubmed ID | |
| Authors |
Bryce A Kiberd, Karthik K Tennankore, Kenneth West |
| Abstract |
Determining eligibility for a kidney transplant is one of the most important decisions facing nephrologists. It is assumed that the harm of kidney transplantation is minimal and most will benefit. The purpose of this study was to quantify the probability of 'no benefit' as defined by death on the wait list; 'harm', defined by the probability that a transplanted patient would live less than the average wait listed patient; and 'benefit' for the probability a transplanted patient would outlive the average wait listed patient. |
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 % |
|---|---|---|
| United States | 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 5 | 26% |
| Student > Postgraduate | 3 | 16% |
| Researcher | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 4 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 58% |
| Immunology and Microbiology | 2 | 11% |
| Nursing and Health Professions | 1 | 5% |
| Computer Science | 1 | 5% |
| Unknown | 4 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 18 April 2014.
All research outputs
#3,875,153
of 22,747,498 outputs
Outputs from Transplantation Research
#5
of 39 outputs
Outputs of similar age
#46,540
of 304,756 outputs
Outputs of similar age from Transplantation Research
#1
of 4 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 39 research outputs from this source. They receive a mean Attention Score of 3.4. This one scored the same or higher as 34 of them.
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 304,756 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
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. This one has scored higher than all of them