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Expression of mRNA IL-17F and sIL-17F in atopic asthma patients

Overview of attention for article published in BMC Research Notes, June 2017
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Title
Expression of mRNA IL-17F and sIL-17F in atopic asthma patients
Published in
BMC Research Notes, June 2017
DOI 10.1186/s13104-017-2517-9
Pubmed ID
Authors

Mochammad Hatta, Eko E. Surachmanto, Andi Asadul Islam, Syarifuddin Wahid

Abstract

Asthma is a chronic inflammatory disorder of airway that involves many cells and elements. Chronic inflammation caused by increase Airway hyperresponsiveness that cause recurrent episodic symptoms of breathlessness, wheezing, chest tightness and coughing, especially at night or early morning. Interleukin 17F is a cytokine that plays an important role in the pathophysiology of asthma attacks. Some studies show a variety of IL-17F roles in the pathogenesis of airway inflammation due to an allergic reaction. The study was conducted at the Prof. Dr. R. D. Kandou Manado Hospital, Indonesia. Samples were taken continuously until the number of meant samples was achieved. Blood samples were collected from 40 atopic asthmatic patients. From statistical analysis based on the hypothesis, there was positive correlation between mRNA levels of IL-17F and IL-17F in atopic asthmatic patient (p = 0.000 and r = 0.988). According these data suggest that levels of mRNA IL-17F and IL17F might be useful parameters for the diagnosis of atopic asthma patient.

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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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 19%
Lecturer 8 12%
Other 7 10%
Student > Master 5 7%
Researcher 3 4%
Other 8 12%
Unknown 25 36%
Readers by discipline Count As %
Medicine and Dentistry 11 16%
Nursing and Health Professions 7 10%
Biochemistry, Genetics and Molecular Biology 5 7%
Agricultural and Biological Sciences 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 12 17%
Unknown 27 39%
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 16 March 2018.
All research outputs
#18,590,133
of 23,026,672 outputs
Outputs from BMC Research Notes
#3,036
of 4,283 outputs
Outputs of similar age
#242,087
of 317,453 outputs
Outputs of similar age from BMC Research Notes
#64
of 100 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 16th percentile – i.e., 16% 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 317,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.