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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Chronic Kidney Disease Model: A General Purpose Model of Disease Progression and Treatment
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2011
|
| DOI | 10.1186/1472-6947-11-41 |
| Pubmed ID | |
| Authors |
Lori A Orlando, Eric J Belasco, Uptal D Patel, David B Matchar |
| Abstract |
Chronic kidney disease (CKD) is the focus of recent national policy efforts; however, decision makers must account for multiple therapeutic options, comorbidities and complications. The objective of the Chronic Kidney Disease model is to provide guidance to decision makers. We describe this model and give an example of how it can inform clinical and policy decisions. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Brazil | 2 | 2% |
| Unknown | 93 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 19% |
| Student > Ph. D. Student | 16 | 16% |
| Student > Master | 16 | 16% |
| Other | 6 | 6% |
| Student > Doctoral Student | 5 | 5% |
| Other | 21 | 21% |
| Unknown | 15 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 33% |
| Nursing and Health Professions | 8 | 8% |
| Economics, Econometrics and Finance | 7 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 6% |
| Engineering | 5 | 5% |
| Other | 21 | 21% |
| Unknown | 19 | 19% |
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 09 December 2013.
All research outputs
#18,355,685
of 22,733,113 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,567
of 1,985 outputs
Outputs of similar age
#85,037
of 100,964 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 21 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 100,964 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.