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Deciphering the transcriptional network of the dendritic cell lineage

Overview of attention for article published in Nature Immunology, July 2012
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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 (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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4 X users
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1 patent
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1 Google+ user
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Citations

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643 Dimensions

Readers on

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742 Mendeley
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1 CiteULike
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Title
Deciphering the transcriptional network of the dendritic cell lineage
Published in
Nature Immunology, July 2012
DOI 10.1038/ni.2370
Pubmed ID
Authors

Jennifer C Miller, Brian D Brown, Tal Shay, Emmanuel L Gautier, Vladimir Jojic, Ariella Cohain, Gaurav Pandey, Marylene Leboeuf, Kutlu G Elpek, Julie Helft, Daigo Hashimoto, Andrew Chow, Jeremy Price, Melanie Greter, Milena Bogunovic, Angelique Bellemare-Pelletier, Paul S Frenette, Gwendalyn J Randolph, Shannon J Turley, Miriam Merad

Abstract

Although much progress has been made in the understanding of the ontogeny and function of dendritic cells (DCs), the transcriptional regulation of the lineage commitment and functional specialization of DCs in vivo remains poorly understood. We made a comprehensive comparative analysis of CD8(+), CD103(+), CD11b(+) and plasmacytoid DC subsets, as well as macrophage DC precursors and common DC precursors, across the entire immune system. Here we characterized candidate transcriptional activators involved in the commitment of myeloid progenitor cells to the DC lineage and predicted regulators of DC functional diversity in tissues. We identified a molecular signature that distinguished tissue DCs from macrophages. We also identified a transcriptional program expressed specifically during the steady-state migration of tissue DCs to the draining lymph nodes that may control tolerance to self tissue antigens.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 742 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 2%
Japan 6 <1%
United Kingdom 4 <1%
Germany 3 <1%
France 2 <1%
Denmark 2 <1%
Netherlands 2 <1%
Sweden 1 <1%
Brazil 1 <1%
Other 5 <1%
Unknown 703 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 236 32%
Researcher 152 20%
Student > Master 64 9%
Student > Bachelor 45 6%
Professor > Associate Professor 34 5%
Other 120 16%
Unknown 91 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 277 37%
Immunology and Microbiology 144 19%
Medicine and Dentistry 84 11%
Biochemistry, Genetics and Molecular Biology 77 10%
Computer Science 11 1%
Other 40 5%
Unknown 109 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 18 April 2023.
All research outputs
#4,588,068
of 24,618,075 outputs
Outputs from Nature Immunology
#1,980
of 4,066 outputs
Outputs of similar age
#29,654
of 167,857 outputs
Outputs of similar age from Nature Immunology
#18
of 34 outputs
Altmetric has tracked 24,618,075 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,066 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.9. This one has gotten more attention than average, scoring higher than 51% 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 167,857 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 82% of its contemporaries.
We're also able to compare this research output to 34 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 50% of its contemporaries.