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Human Dendritic Cell Functional Specialization in Steady-State and Inflammation

Overview of attention for article published in Frontiers in immunology, April 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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 blog
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2 X users

Citations

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159 Dimensions

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328 Mendeley
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Title
Human Dendritic Cell Functional Specialization in Steady-State and Inflammation
Published in
Frontiers in immunology, April 2014
DOI 10.3389/fimmu.2014.00131
Pubmed ID
Authors

Arjan Boltjes, Femke van Wijk

Abstract

Dendritic cells (DC) represent a heterogeneous population of antigen-presenting cells that are crucial in initiating and shaping immune responses. Although all DC are capable of antigen-uptake, processing, and presentation to T cells, DC subtypes differ in their origin, location, migration patterns, and specialized immunological roles. While in recent years, there have been rapid advances in understanding DC subset ontogeny, development, and function in mice, relatively little is known about the heterogeneity and functional specialization of human DC subsets, especially in tissues. In steady-state, DC progenitors deriving from the bone marrow give rise to lymphoid organ-resident DC and to migratory tissue DC that act as tissue sentinels. During inflammation additional DC and monocytes are recruited to the tissues where they are further activated and promote T helper cell subset polarization depending on the environment. In the current review, we will give an overview of the latest developments in human DC research both in steady-state and under inflammatory conditions. In this context, we review recent findings on DC subsets, DC-mediated cross-presentation, monocyte-DC relationships, inflammatory DC development, and DC-instructed T-cell polarization. Finally, we discuss the potential role of human DC in chronic inflammatory diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 328 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Netherlands 1 <1%
France 1 <1%
Korea, Republic of 1 <1%
Austria 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Egypt 1 <1%
Mexico 1 <1%
Other 2 <1%
Unknown 316 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 75 23%
Researcher 55 17%
Student > Master 50 15%
Student > Bachelor 38 12%
Student > Doctoral Student 22 7%
Other 46 14%
Unknown 42 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 29%
Immunology and Microbiology 73 22%
Medicine and Dentistry 47 14%
Biochemistry, Genetics and Molecular Biology 39 12%
Pharmacology, Toxicology and Pharmaceutical Science 7 2%
Other 18 5%
Unknown 50 15%
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 05 June 2015.
All research outputs
#4,179,757
of 25,374,917 outputs
Outputs from Frontiers in immunology
#4,485
of 31,520 outputs
Outputs of similar age
#39,246
of 239,197 outputs
Outputs of similar age from Frontiers in immunology
#14
of 121 outputs
Altmetric has tracked 25,374,917 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 31,520 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 85% 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 239,197 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 83% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.