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Proteomics-based identification of haptoglobin as a favourable serum biomarker for predicting long-term response to splenectomy in patients with primary immune thrombocytopenia

Overview of attention for article published in Journal of Translational Medicine, October 2012
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Title
Proteomics-based identification of haptoglobin as a favourable serum biomarker for predicting long-term response to splenectomy in patients with primary immune thrombocytopenia
Published in
Journal of Translational Medicine, October 2012
DOI 10.1186/1479-5876-10-208
Pubmed ID
Authors

Chao-Xu Zheng, Zhuang-Qi Ji, Long-Juan Zhang, Qiong Wen, Liu-Hua Chen, Jun-Feng Yu, Dong Zheng

Abstract

Splenectomy is the most effective treatment for patients with primary immune thrombocytopenia (ITP) who fail to respond to steroid therapy. Thus far, there is no effective means to predict the long-term haematological response of the procedure. The purpose of this study was to identify serum biomarkers as predictors of long-term response based on a proteomics approach.

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

Geographical breakdown

Country Count As %
India 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 36%
Student > Master 6 27%
Student > Doctoral Student 2 9%
Lecturer > Senior Lecturer 1 5%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 4 18%
Readers by discipline Count As %
Medicine and Dentistry 8 36%
Agricultural and Biological Sciences 5 23%
Psychology 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Unknown 5 23%
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 07 October 2012.
All research outputs
#18,317,537
of 22,681,577 outputs
Outputs from Journal of Translational Medicine
#2,930
of 3,960 outputs
Outputs of similar age
#131,201
of 173,110 outputs
Outputs of similar age from Journal of Translational Medicine
#41
of 59 outputs
Altmetric has tracked 22,681,577 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 3,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 173,110 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.