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The Many Alternative Faces of Macrophage Activation

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

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
The Many Alternative Faces of Macrophage Activation
Published in
Frontiers in immunology, July 2015
DOI 10.3389/fimmu.2015.00370
Pubmed ID
Authors

David A. Hume

Abstract

Monocytes and macrophages provide the first line of defense against pathogens. They also initiate acquired immunity by processing and presenting antigens and provide the downstream effector functions. Analysis of large gene expression datasets from multiple cells and tissues reveals sets of genes that are co-regulated with the transcription factors that regulate them. In macrophages, the gene clusters include lineage-specific genes, interferon-responsive genes, early inflammatory genes, and genes required for endocytosis and lysosome function. Macrophages enter tissues and alter their function to deal with a wide range of challenges related to development and organogenesis, tissue injury, malignancy, sterile, or pathogenic inflammatory stimuli. These stimuli alter the gene expression to produce "activated macrophages" that are better equipped to eliminate the cause of their influx and to restore homeostasis. Activation or polarization states of macrophages have been classified as "classical" and "alternative" or M1 and M2. These proposed states of cells are not supported by large-scale transcriptomic data, including macrophage-associated signatures from large cancer tissue datasets, where the supposed markers do not correlate with other. Individual macrophage cells differ markedly from each other, and change their functions in response to doses and combinations of agonists and time. The most studied macrophage activation response is the transcriptional cascade initiated by the TLR4 agonist lipopolysaccharide. This response is reviewed herein. The network topology is conserved across species, but genes within the transcriptional network evolve rapidly and differ between mouse and human. There is also considerable divergence in the sets of target genes between mouse strains, between individuals, and in other species such as pigs. The deluge of complex information related to macrophage activation can be accessed with new analytical tools and new databases that provide access for the non-expert.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 342 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Brazil 1 <1%
India 1 <1%
Mexico 1 <1%
Japan 1 <1%
Unknown 337 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 91 27%
Researcher 55 16%
Student > Master 46 13%
Student > Bachelor 29 8%
Student > Doctoral Student 21 6%
Other 46 13%
Unknown 54 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 23%
Biochemistry, Genetics and Molecular Biology 59 17%
Immunology and Microbiology 57 17%
Medicine and Dentistry 43 13%
Pharmacology, Toxicology and Pharmaceutical Science 11 3%
Other 30 9%
Unknown 65 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 12 July 2016.
All research outputs
#8,835,526
of 26,106,397 outputs
Outputs from Frontiers in immunology
#11,245
of 32,879 outputs
Outputs of similar age
#95,819
of 276,716 outputs
Outputs of similar age from Frontiers in immunology
#54
of 155 outputs
Altmetric has tracked 26,106,397 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,879 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 64% 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 276,716 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 55% of its contemporaries.
We're also able to compare this research output to 155 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 65% of its contemporaries.