↓ Skip to main content

Deciphering the transcriptional network of the dendritic cell lineage

Overview of attention for article published in Nature Immunology, July 2012
Altmetric Badge

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 (81st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users
patent
1 patent
googleplus
1 Google+ user
f1000
1 research highlight platform

Citations

dimensions_citation
646 Dimensions

Readers on

mendeley
749 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 749 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 710 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 237 32%
Researcher 152 20%
Student > Master 64 9%
Student > Bachelor 48 6%
Professor > Associate Professor 34 5%
Other 120 16%
Unknown 94 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 277 37%
Immunology and Microbiology 146 19%
Medicine and Dentistry 83 11%
Biochemistry, Genetics and Molecular Biology 80 11%
Computer Science 11 1%
Other 40 5%
Unknown 112 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
#4,792,785
of 25,837,817 outputs
Outputs from Nature Immunology
#2,084
of 4,229 outputs
Outputs of similar age
#31,488
of 182,102 outputs
Outputs of similar age from Nature Immunology
#17
of 34 outputs
Altmetric has tracked 25,837,817 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 4,229 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.8. This one has gotten more attention than average, scoring higher than 50% 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 182,102 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 34 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.