| Title |
Predicting acute kidney injury: current status and future challenges
|
|---|---|
| Published in |
Journal of Nephrology, June 2017
|
| DOI | 10.1007/s40620-017-0416-8 |
| Pubmed ID | |
| Authors |
Simona Pozzoli, Marco Simonini, Paolo Manunta |
| Abstract |
Acute kidney injury (AKI) is characterized by an acute decline in renal function and is associated to increased mortality rate, hospitalization time, and total health-related costs. The severity of this 'fearsome' clinical complication might depend on, or even be worsened by, the late detection of AKI, when the diagnosis is based on the elevation of serum creatinine (SCr). For these reasons, in recent years a great number of new tools, biomarkers and predictive models have been proposed to clinicians in order to improve diagnosis and prevent the development of AKI. The purpose of this narrative paper is to review the current state of the art in prediction and early detection of AKI and outline future challenges. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 114 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 15% |
| Student > Postgraduate | 15 | 13% |
| Student > Bachelor | 13 | 11% |
| Student > Master | 10 | 9% |
| Other | 9 | 8% |
| Other | 18 | 16% |
| Unknown | 32 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 33% |
| Nursing and Health Professions | 8 | 7% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Agricultural and Biological Sciences | 6 | 5% |
| Engineering | 5 | 4% |
| Other | 14 | 12% |
| Unknown | 36 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 03 November 2021.
All research outputs
#4,845,045
of 25,410,626 outputs
Outputs from Journal of Nephrology
#206
of 1,104 outputs
Outputs of similar age
#79,305
of 330,460 outputs
Outputs of similar age from Journal of Nephrology
#3
of 15 outputs
Altmetric has tracked 25,410,626 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 79% 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 330,460 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 74% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.