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Mendeley readers
Attention Score in Context
| Title |
CD8α+ DCs can be induced in the absence of transcription factors Id2, Nfil3, and Batf3
|
|---|---|
| Published in |
Blood, January 2013
|
| DOI | 10.1182/blood-2012-07-445650 |
| Pubmed ID | |
| Authors |
Cyril Seillet, Jacob T. Jackson, Kate A. Markey, Hugh J.M. Brady, Geoffrey R. Hill, Kelli P.A. MacDonald, Stephen L. Nutt, Gabrielle T. Belz |
| Abstract |
Antiviral immunity and cross-presentation is mediated constitutively through CD8α+ and CD103+ DCs. Development of these DC subsets is thought to require the transcription factors Irf8, Id2, Nfil3, and Batf3, although how this network is regulated is poorly defined. We addressed the nature of the differentiation blocks observed in the absence of these factors and found that although all 4 factors are required for CD103+ DC development, only Irf8 is essential for CD8α+ DCs. CD8α+ DCs emerged in the absence of Id2, Nfil3 and Batf3 in short-term bone marrow reconstitution. These “induced” CD8α+ DCs exhibit several hallmarks of classic CD8α+ DCs including the expression of CD24, Tlr3, Xcr1, Clec9A, and the capacity to cross-present soluble, cell-associated antigens and viral antigens even in the absence of Batf3. Collectively, these results uncover a previously undescribed pathway by which CD8α+ DCs emerge independent of Id2, Nfil3, and Batf3, but dependent on Irf8. |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 103 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 35% |
| Researcher | 29 | 27% |
| Student > Master | 5 | 5% |
| Professor | 4 | 4% |
| Student > Bachelor | 3 | 3% |
| Other | 12 | 11% |
| Unknown | 16 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 31 | 29% |
| Agricultural and Biological Sciences | 30 | 28% |
| Medicine and Dentistry | 14 | 13% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Engineering | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 15 | 14% |
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 14 May 2021.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Blood
#14,242
of 33,238 outputs
Outputs of similar age
#88,626
of 289,575 outputs
Outputs of similar age from Blood
#145
of 330 outputs
Altmetric has tracked 25,374,647 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 33,238 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 289,575 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 330 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.