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Graft-versus-host disease biomarkers: omics and personalized medicine

Overview of attention for article published in International Journal of Hematology, August 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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7 X users
patent
2 patents

Citations

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35 Dimensions

Readers on

mendeley
96 Mendeley
Title
Graft-versus-host disease biomarkers: omics and personalized medicine
Published in
International Journal of Hematology, August 2013
DOI 10.1007/s12185-013-1406-9
Pubmed ID
Authors

Sophie Paczesny, Nisha Raiker, Sam Brooks, Christy Mumaw

Abstract

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is the most effective form of tumor immunotherapy available to date and the frequency of transplants continues to increase worldwide. However, while allo-HSCT usually induces a beneficial graft-versus leukemia effect, a major source of morbidity and mortality following allo-HSCT is graft-versus-host disease (GVHD). Currently available diagnostic and staging tools frequently fail to identify those at higher risk for GVHD morbidity, treatment unresponsiveness, and death. Furthermore, there are shortcomings in the risk stratification of patients before GVHD clinical signs develop. In parallel, recent years have been characterized by an explosive evolution of omics technologies, largely due to technological advancements in chemistry, engineering, and bioinformatics. Building on these opportunities, plasma biomarkers have been identified and validated as promising diagnostic and prognostic tools for acute GVHD. This review summarizes current information on the types of GVHD biomarkers, the omics tools used to identify them, the biomarkers currently validated as acute GVHD markers, and future recommendations for incorporating biomarkers into new grading algorithms for risk-stratifying patients and creating more personalized treatment courses. Future directions will include randomized evaluations of these biomarkers in multicenter prospective studies while extending on the need for biomarkers of chronic GVHD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Denmark 1 1%
Estonia 1 1%
Unknown 93 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 19%
Student > Ph. D. Student 16 17%
Student > Master 15 16%
Student > Doctoral Student 7 7%
Student > Bachelor 7 7%
Other 22 23%
Unknown 11 11%
Readers by discipline Count As %
Medicine and Dentistry 33 34%
Biochemistry, Genetics and Molecular Biology 13 14%
Agricultural and Biological Sciences 13 14%
Immunology and Microbiology 6 6%
Engineering 4 4%
Other 10 10%
Unknown 17 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 25 February 2020.
All research outputs
#4,388,501
of 22,719,618 outputs
Outputs from International Journal of Hematology
#104
of 1,388 outputs
Outputs of similar age
#38,601
of 198,610 outputs
Outputs of similar age from International Journal of Hematology
#2
of 18 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,388 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 92% 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 198,610 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.