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Septic acute kidney injury: molecular mechanisms and the importance of stratification and targeting therapy

Overview of attention for article published in Critical Care, September 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
34 tweeters

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
89 Mendeley
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Title
Septic acute kidney injury: molecular mechanisms and the importance of stratification and targeting therapy
Published in
Critical Care, September 2014
DOI 10.1186/s13054-014-0501-5
Pubmed ID
Authors

Eric D Morrell, John A Kellum, Núria M Pastor-Soler, Kenneth R Hallows

Abstract

The most common cause of acute kidney injury (AKI) in hospitalized patients is sepsis. However, the molecular pathways and mechanisms that mediate septic AKI are not well defined. Experiments performed over the past 20 years suggest that there are profound differences in the pathogenesis between septic and ischemic AKI. Septic AKI often occurs independently of hypoperfusion, and is mediated by a concomitant pro- and anti-inflammatory state that is activated in response to various pathogen-associated molecular patterns, such as endotoxin, as well as damage-associated molecular patterns. These molecular patterns are recognized by Toll-like receptors (TLRs) found in the kidney, and effectuate downstream inflammatory pathways. Additionally, apoptosis has been proposed to play a role in the pathogenesis of septic AKI. However, targeted therapies designed to mitigate the above aspects of the inflammatory state, TLR-related pathways, and apoptosis have failed to show significant clinical benefit. This failure is likely due to the protean nature of septic AKI, whereby different patients present at different points along the immunologic spectrum. While one patient may benefit from targeted therapy at one end of the spectrum, another patient at the other end may be harmed by the same therapy. We propose that a next important step in septic AKI research will be to identify where patients lie on the immunologic spectrum in order to appropriately target therapies at the inflammatory cascade, TLRs, and possibly apoptosis.

Twitter Demographics

The data shown below were collected from the profiles of 34 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Brazil 2 2%
Colombia 1 1%
Mexico 1 1%
Unknown 85 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 16%
Student > Master 10 11%
Student > Doctoral Student 10 11%
Researcher 9 10%
Other 9 10%
Other 27 30%
Unknown 10 11%
Readers by discipline Count As %
Medicine and Dentistry 53 60%
Agricultural and Biological Sciences 6 7%
Engineering 4 4%
Immunology and Microbiology 4 4%
Nursing and Health Professions 3 3%
Other 7 8%
Unknown 12 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 05 June 2016.
All research outputs
#1,606,834
of 22,489,683 outputs
Outputs from Critical Care
#1,454
of 5,998 outputs
Outputs of similar age
#17,004
of 216,702 outputs
Outputs of similar age from Critical Care
#12
of 133 outputs
Altmetric has tracked 22,489,683 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,998 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done well, scoring higher than 75% 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 216,702 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.