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Human Tumor-Infiltrating Myeloid Cells: Phenotypic and Functional Diversity

Overview of attention for article published in Frontiers in immunology, February 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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10 X users
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1 patent

Citations

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167 Dimensions

Readers on

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319 Mendeley
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Title
Human Tumor-Infiltrating Myeloid Cells: Phenotypic and Functional Diversity
Published in
Frontiers in immunology, February 2017
DOI 10.3389/fimmu.2017.00086
Pubmed ID
Authors

Louise A. Elliott, Glen A. Doherty, Kieran Sheahan, Elizabeth J. Ryan

Abstract

Our current understanding of human tumor-resident myeloid cells is, for the most part, based on a large body of work in murine models or studies enumerating myeloid cells in patient tumor samples using immunohistochemistry (IHC). This has led to the establishment of the theory that, by and large, tumor-resident myeloid cells are either "protumor" M2 macrophages or myeloid-derived suppressor cells (MDSC). This concept has accelerated our understanding of myeloid cells in tumor progression and enabled the elucidation of many key regulatory mechanisms involved in cell recruitment, polarization, and activation. On the other hand, this paradigm does not embrace the complexity of the tumor-resident myeloid cell phenotype (IHC can only measure 1 or 2 markers per sample) and their possible divergent function in the hostile tumor microenvironment. Here, we examine the criteria that define human tumor-infiltrating myeloid cell subsets and provide a comprehensive and critical review of human myeloid cell nomenclature in cancer. We also highlight new evidence characterizing their contribution to cancer pathogenesis based on evidence derived from clinical studies drawing comparisons with murine studies where necessary. We then review the mechanisms in which myeloid cells are regulated by tumors in humans and how these are being targeted therapeutically.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 319 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 319 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 68 21%
Student > Ph. D. Student 57 18%
Student > Master 34 11%
Student > Bachelor 34 11%
Student > Doctoral Student 18 6%
Other 45 14%
Unknown 63 20%
Readers by discipline Count As %
Immunology and Microbiology 68 21%
Biochemistry, Genetics and Molecular Biology 53 17%
Medicine and Dentistry 48 15%
Agricultural and Biological Sciences 42 13%
Pharmacology, Toxicology and Pharmaceutical Science 9 3%
Other 26 8%
Unknown 73 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 January 2023.
All research outputs
#4,103,727
of 25,382,440 outputs
Outputs from Frontiers in immunology
#4,359
of 31,531 outputs
Outputs of similar age
#76,519
of 424,791 outputs
Outputs of similar age from Frontiers in immunology
#62
of 391 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,531 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 86% 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 424,791 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 81% of its contemporaries.
We're also able to compare this research output to 391 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.