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Biomarkers on melanoma patient T Cells associated with ipilimumab treatment

Overview of attention for article published in Journal of Translational Medicine, July 2012
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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 (66th percentile)

Mentioned by

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1 X user
patent
1 patent

Citations

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102 Dimensions

Readers on

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131 Mendeley
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Title
Biomarkers on melanoma patient T Cells associated with ipilimumab treatment
Published in
Journal of Translational Medicine, July 2012
DOI 10.1186/1479-5876-10-146
Pubmed ID
Authors

Wenshi Wang, Daohai Yu, Amod A Sarnaik, Bin Yu, Maclean Hall, Dawn Morelli, Yonghong Zhang, Xiuhua Zhao, Jeffrey S Weber

Abstract

Ipilimumab induces long-lasting clinical responses in a minority of patients with metastatic melanoma. To better understand the mechanism(s) of action and to identify novel biomarkers associated with the clinical benefit and toxicity of ipilimumab, baseline characteristics and changes in CD4(+) and CD8(+) T cells from melanoma patients receiving ipilimumab were characterized by gene profiling and flow cytometry.

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

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
United States 1 <1%
Unknown 129 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 27%
Student > Ph. D. Student 15 11%
Other 13 10%
Student > Master 13 10%
Student > Bachelor 11 8%
Other 18 14%
Unknown 26 20%
Readers by discipline Count As %
Medicine and Dentistry 27 21%
Agricultural and Biological Sciences 26 20%
Immunology and Microbiology 18 14%
Biochemistry, Genetics and Molecular Biology 13 10%
Engineering 7 5%
Other 9 7%
Unknown 31 24%
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 25 September 2014.
All research outputs
#6,912,918
of 22,671,366 outputs
Outputs from Journal of Translational Medicine
#1,078
of 3,955 outputs
Outputs of similar age
#49,297
of 164,335 outputs
Outputs of similar age from Journal of Translational Medicine
#17
of 57 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,955 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 71% 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 164,335 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 57 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 66% of its contemporaries.