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A Hitchhiker’s Guide to Myeloid Cell Subsets: Practical Implementation of a Novel Mononuclear Phagocyte Classification System

Overview of attention for article published in Frontiers in immunology, August 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
A Hitchhiker’s Guide to Myeloid Cell Subsets: Practical Implementation of a Novel Mononuclear Phagocyte Classification System
Published in
Frontiers in immunology, August 2015
DOI 10.3389/fimmu.2015.00406
Pubmed ID
Authors

Martin Guilliams, Lianne van de Laar

Abstract

The classification of mononuclear phagocytes as either dendritic cells or macrophages has been mainly based on morphology, the expression of surface markers, and assumed functional specialization. We have recently proposed a novel classification system of mononuclear phagocytes based on their ontogeny. Here, we discuss the practical application of such a classification system through a number of prototypical examples we have encountered while hitchhiking from one subset to another, across species and between steady-state and inflammatory settings. Finally, we discuss the advantages and drawbacks of such a classification system and propose a number of improvements to move from theoretical concepts to concrete guidelines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 233 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 24%
Researcher 39 16%
Student > Bachelor 27 11%
Student > Master 24 10%
Student > Doctoral Student 19 8%
Other 32 13%
Unknown 41 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 24%
Immunology and Microbiology 49 21%
Biochemistry, Genetics and Molecular Biology 42 18%
Medicine and Dentistry 26 11%
Engineering 4 2%
Other 14 6%
Unknown 46 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 December 2016.
All research outputs
#14,388,554
of 25,374,647 outputs
Outputs from Frontiers in immunology
#11,653
of 31,520 outputs
Outputs of similar age
#123,945
of 275,911 outputs
Outputs of similar age from Frontiers in immunology
#55
of 151 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,520 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 61% 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 275,911 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 54% of its contemporaries.
We're also able to compare this research output to 151 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 62% of its contemporaries.