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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biomarkers of cardio-renal damage in chronic kidney disease: one size cannot fit all
|
|---|---|
| Published in |
Critical Care, April 2014
|
| DOI | 10.1186/cc13834 |
| Pubmed ID | |
| Authors |
Davide Bolignano, Giuseppe Coppolino |
| Abstract |
Biomarkers are useful tools for diagnosis and risk assessment of acute kidney injury and acute heart failure, particularly in ICU patients. Most biomarkers are produced or cleared by the kidney, so the presence of chronic kidney disease may affect their clinical reliability, particularly if the putative diagnosis of acute kidney injury or acute heart failure is based on a single measurement/single threshold approach. Better alternatives, such as establishing different diagnostic cutoff values per different chronic kidney disease strata or evaluating the diagnostic performance of a delta value (change from baseline levels) instead of a single threshold, should be carefully considered in critically ill patients with renal impairment and other co-morbidities. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 17% |
| New Zealand | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 18% |
| Student > Bachelor | 2 | 9% |
| Professor | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 8 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 55% |
| Sports and Recreations | 1 | 5% |
| Unknown | 9 | 41% |
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 19 April 2014.
All research outputs
#7,714,335
of 25,373,627 outputs
Outputs from Critical Care
#4,133
of 6,554 outputs
Outputs of similar age
#69,508
of 238,626 outputs
Outputs of similar age from Critical Care
#74
of 167 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 36th percentile – i.e., 36% 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 238,626 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 70% of its contemporaries.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.