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Variability in CRP, regulatory T cells and effector T cells over time in gynaecological cancer patients: a study of potential oscillatory behaviour and correlations

Overview of attention for article published in Journal of Translational Medicine, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
13 Dimensions

Readers on

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20 Mendeley
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Title
Variability in CRP, regulatory T cells and effector T cells over time in gynaecological cancer patients: a study of potential oscillatory behaviour and correlations
Published in
Journal of Translational Medicine, June 2014
DOI 10.1186/1479-5876-12-179
Pubmed ID
Authors

Mutsa T Madondo, Sandra Tuyaerts, Brit B Turnbull, Anke Vanderstraeten, Holbrook Kohrt, Balasubramanian Narasimhan, Frederic Amant, Michael Quinn, Magdalena Plebanski

Abstract

The inflammatory marker, C reactive protein has been proposed to also be a biomarker for adaptive immune responses in cancer patients with a possible application in time based chemotherapy. Fluxes in serum CRP levels were suggested to be indicative of a cyclical process in which, immune activation is followed by auto-regulating immune suppression. The applicability of CRP as a biomarker for regulatory or effector T cells was therefore investigated in a cohort of patients with gynaecological malignancies.

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

Geographical breakdown

Country Count As %
Belgium 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 25%
Student > Ph. D. Student 3 15%
Student > Bachelor 2 10%
Student > Master 2 10%
Other 1 5%
Other 1 5%
Unknown 6 30%
Readers by discipline Count As %
Medicine and Dentistry 9 45%
Biochemistry, Genetics and Molecular Biology 2 10%
Agricultural and Biological Sciences 2 10%
Sports and Recreations 1 5%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 March 2017.
All research outputs
#7,200,470
of 22,757,541 outputs
Outputs from Journal of Translational Medicine
#1,155
of 3,978 outputs
Outputs of similar age
#70,279
of 228,089 outputs
Outputs of similar age from Journal of Translational Medicine
#18
of 66 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 69% 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 228,089 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 68% of its contemporaries.
We're also able to compare this research output to 66 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 69% of its contemporaries.