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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of electronic-alerting of acute kidney injury: workgroup statements from the 15th ADQI Consensus Conference
|
|---|---|
| Published in |
Canadian Journal of Kidney Health and Disease, February 2016
|
| DOI | 10.1186/s40697-016-0101-1 |
| Pubmed ID | |
| Authors |
Eric A. J. Hoste, Kianoush Kashani, Noel Gibney, F. Perry Wilson, Claudio Ronco, Stuart L. Goldstein, John A. Kellum, Sean M. Bagshaw, on behalf of the 15 ADQI Consensus Group |
| Abstract |
Among hospitalized patients, acute kidney injury is common and associated with significant morbidity and risk for mortality. The use of electronic health records (EHR) for prediction and detection of this important clinical syndrome has grown in the past decade. The steering committee of the 15(th) Acute Dialysis Quality Initiative (ADQI) conference dedicated a workgroup with the task of identifying elements that may impact the course of events following Acute Kidney Injury (AKI) e-alert. Following an extensive, non-systematic literature search, we used a modified Delphi process to reach consensus regarding several aspects of the utilization of AKI e-alerts. Topics discussed in this workgroup included progress in evidence base practices, the characteristics of an optimal e-alert, the measures of efficacy and effectiveness, and finally what responses would be considered best practices following AKI e-alerts. Authors concluded that the current evidence for e-alert system efficacy, although growing, remains insufficient. Technology and human-related factors were found to be crucial elements of any future investigation or implementation of such tools. The group also concluded that implementation of such systems should not be done without a vigorous plan to evaluate the efficacy and effectiveness of e-alerts. Efficacy and effectiveness of e-alerts should be measured by context-specific process and patient outcomes. Finally, the group made several suggestions regarding the clinical decision support that should be considered following successful e-alert implementation. This paper reflects the findings of a non-systematic review and expert opinion. We recommend implementation of the findings of this workgroup report for use of AKI e-alerts. |
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 % |
|---|---|---|
| United States | 2 | 29% |
| Canada | 2 | 29% |
| Belgium | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 88 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 18% |
| Researcher | 14 | 16% |
| Student > Ph. D. Student | 8 | 9% |
| Professor > Associate Professor | 6 | 7% |
| Student > Master | 6 | 7% |
| Other | 20 | 22% |
| Unknown | 19 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 31% |
| Nursing and Health Professions | 10 | 11% |
| Computer Science | 7 | 8% |
| Agricultural and Biological Sciences | 6 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Other | 15 | 17% |
| Unknown | 18 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 September 2017.
All research outputs
#7,047,954
of 25,374,917 outputs
Outputs from Canadian Journal of Kidney Health and Disease
#222
of 620 outputs
Outputs of similar age
#91,214
of 312,297 outputs
Outputs of similar age from Canadian Journal of Kidney Health and Disease
#7
of 20 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 620 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 63% 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 312,297 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 20 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 65% of its contemporaries.