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Computational Algorithm-Driven Evaluation of Monocytic Myeloid-Derived Suppressor Cell Frequency for Prediction of Clinical Outcomes

Overview of attention for article published in Cancer Immunology Research, August 2014
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

patent
9 patents

Citations

dimensions_citation
117 Dimensions

Readers on

mendeley
129 Mendeley
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Title
Computational Algorithm-Driven Evaluation of Monocytic Myeloid-Derived Suppressor Cell Frequency for Prediction of Clinical Outcomes
Published in
Cancer Immunology Research, August 2014
DOI 10.1158/2326-6066.cir-14-0013
Pubmed ID
Authors

Shigehisa Kitano, Michael A Postow, Carly G K Ziegler, Deborah Kuk, Katherine S Panageas, Czrina Cortez, Teresa Rasalan, Mathew Adamow, Jianda Yuan, Philip Wong, Gregoire Altan-Bonnet, Jedd D Wolchok, Alexander M Lesokhin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
Unknown 124 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 25%
Student > Ph. D. Student 20 16%
Other 12 9%
Student > Master 10 8%
Student > Bachelor 9 7%
Other 23 18%
Unknown 23 18%
Readers by discipline Count As %
Medicine and Dentistry 38 29%
Agricultural and Biological Sciences 19 15%
Biochemistry, Genetics and Molecular Biology 15 12%
Immunology and Microbiology 15 12%
Computer Science 3 2%
Other 13 10%
Unknown 26 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 23 January 2024.
All research outputs
#2,560,427
of 23,485,296 outputs
Outputs from Cancer Immunology Research
#275
of 1,442 outputs
Outputs of similar age
#26,791
of 231,458 outputs
Outputs of similar age from Cancer Immunology Research
#7
of 31 outputs
Altmetric has tracked 23,485,296 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,442 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 80% 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 231,458 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 88% of its contemporaries.
We're also able to compare this research output to 31 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 74% of its contemporaries.