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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 (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
116 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.

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 116 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 114 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 29%
Student > Ph. D. Student 14 12%
Student > Bachelor 12 10%
Other 12 10%
Student > Master 10 9%
Other 15 13%
Unknown 19 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 23%
Medicine and Dentistry 23 20%
Immunology and Microbiology 16 14%
Biochemistry, Genetics and Molecular Biology 11 9%
Engineering 6 5%
Other 8 7%
Unknown 25 22%

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
#3,369,176
of 12,440,173 outputs
Outputs from Journal of Translational Medicine
#539
of 2,445 outputs
Outputs of similar age
#31,317
of 120,374 outputs
Outputs of similar age from Journal of Translational Medicine
#5
of 16 outputs
Altmetric has tracked 12,440,173 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,445 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 76% 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 120,374 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 72% of its contemporaries.
We're also able to compare this research output to 16 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 68% of its contemporaries.