↓ Skip to main content

How to choose the therapeutic goals to improve tissue perfusion in septic shock

Overview of attention for article published in Einstein (São Paulo), August 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
59 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
How to choose the therapeutic goals to improve tissue perfusion in septic shock
Published in
Einstein (São Paulo), August 2015
DOI 10.1590/s1679-45082015rw3148
Pubmed ID
Authors

Murillo Santucci Cesar de Assuncao, Thiago Domingos Corrêa, Bruno de Arruda Bravim, Eliézer Silva

Abstract

The early recognition and treatment of severe sepsis and septic shock is the key to a successful outcome. The longer the delay in starting treatment, the worse the prognosis due to persistent tissue hypoperfusion and consequent development and worsening of organ dysfunction. One of the main mechanisms responsible for the development of cellular dysfunction is tissue hypoxia. The adjustments necessary for adequate tissue blood flow and therefore of oxygen supply to metabolic demand according to the assessment of the cardiac index and oxygen extraction rate should be performed during resuscitation period, especially in high complexity patients. New technologies, easily handled at the bedside, and new studies that directly assess the impact of macro-hemodynamic parameter optimization on microcirculation and in the clinical outcome of septic patients, are needed.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 10 17%
Student > Master 6 10%
Student > Bachelor 6 10%
Researcher 5 8%
Professor > Associate Professor 4 7%
Other 12 20%
Unknown 16 27%
Readers by discipline Count As %
Medicine and Dentistry 25 42%
Nursing and Health Professions 6 10%
Veterinary Science and Veterinary Medicine 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Agricultural and Biological Sciences 3 5%
Other 4 7%
Unknown 14 24%
Attention Score in Context

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 28 August 2015.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Einstein (São Paulo)
#421
of 576 outputs
Outputs of similar age
#203,869
of 277,667 outputs
Outputs of similar age from Einstein (São Paulo)
#5
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 576 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 12th percentile – i.e., 12% 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 277,667 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.