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Interferon-γ and CXCL10 responses related to complaints in patients with Q fever fatigue syndrome

Overview of attention for article published in European Journal of Clinical Microbiology & Infectious Diseases, May 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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1 tweeter
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1 Facebook page

Citations

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4 Dimensions

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16 Mendeley
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Title
Interferon-γ and CXCL10 responses related to complaints in patients with Q fever fatigue syndrome
Published in
European Journal of Clinical Microbiology & Infectious Diseases, May 2018
DOI 10.1007/s10096-018-3265-z
Pubmed ID
Authors

Ruud P. H. Raijmakers, Anne F. M. Jansen, Stephan P. Keijmel, Teske Schoffelen, Anja Scholzen, Jos W. M. van der Meer, Leo A. B. Joosten, Mihai G. Netea, Marcel van Deuren, Chantal P. Bleeker-Rovers

Abstract

Approximately 20% of patients with acute Q fever develop Q fever fatigue syndrome (QFS), a debilitating fatigue syndrome. This study further investigates the role of C. burnetii-specific IFNγ, but also IL-2, CXCL9, CXCL10, and CXLC11 production in QFS patients. C. burnetii-specific IFNy, IL-2, CXCL9, CXCL10, and CXCL11 production were tested in ex vivo stimulated whole blood of QFS patients who recovered from their complaints (n = 8), QFS patients with persisting complaints (n = 27), and asymptomatic Q fever seropositive controls (n = 10). With the exclusion of one outlier, stimulation with C. burnetii revealed significantly higher IFNy and CXCL10 production in QFS patients with persisting complaints (medians 288.0 and 176.0 pg/mL, respectively) than in QFS patients who recovered from their complaints (medians 93.0 and 85.5 pg/mL, respectively) (p = 0.041 and 0.045, respectively). No significant differences between groups were found for C. burnetii-specific IL-2, CXCL9, and CXCL11 production. These findings point towards a difference in cell-mediated immunity in QFS patients with persisting complaints compared to those who recovered from their complaints. Such a difference may aid to eventually diagnose QFS more objectively and might serve as an indicator of its underlying etiology.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 19%
Professor 2 13%
Student > Ph. D. Student 1 6%
Student > Bachelor 1 6%
Student > Master 1 6%
Other 2 13%
Unknown 6 38%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Biochemistry, Genetics and Molecular Biology 2 13%
Immunology and Microbiology 1 6%
Nursing and Health Professions 1 6%
Unknown 7 44%

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 03 June 2018.
All research outputs
#9,966,361
of 13,028,155 outputs
Outputs from European Journal of Clinical Microbiology & Infectious Diseases
#1,395
of 1,908 outputs
Outputs of similar age
#187,636
of 271,313 outputs
Outputs of similar age from European Journal of Clinical Microbiology & Infectious Diseases
#15
of 39 outputs
Altmetric has tracked 13,028,155 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,908 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 23rd percentile – i.e., 23% 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 271,313 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 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 51% of its contemporaries.