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CD56 Expression Marks Human Group 2 Innate Lymphoid Cell Divergence from a Shared NK Cell and Group 3 Innate Lymphoid Cell Developmental Pathway

Overview of attention for article published in Immunity, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

35 tweeters


82 Dimensions

Readers on

118 Mendeley
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CD56 Expression Marks Human Group 2 Innate Lymphoid Cell Divergence from a Shared NK Cell and Group 3 Innate Lymphoid Cell Developmental Pathway
Published in
Immunity, September 2018
DOI 10.1016/j.immuni.2018.08.010
Pubmed ID

Luxi Chen, Youssef, Cameron Robinson, Gabrielle F. Ernst, Mary Y. Carson, Karen A. Young, Steven D. Scoville, Xiaoli Zhang, Regine Harris, Palak Sekhri, Anthony G. Mansour, Wing K. Chan, Ansel P. Nalin, Hsiaoyin C. Mao, Tiffany Hughes, Emily M. Mace, Yinghong Pan, Navin Rustagi, Sujash S. Chatterjee, Preethi H. Gunaratne, Gregory K. Behbehani, Bethany L. Mundy-Bosse, Michael A. Caligiuri, Aharon G. Freud


According to the established model of murine innate lymphoid cell (ILC) development, helper ILCs develop separately from natural killer (NK) cells. However, it is unclear how helper ILCs and NK cells develop in humans. Here we elucidated key steps of NK cell, ILC2, and ILC3 development within human tonsils using ex vivo molecular and functional profiling and lineage differentiation assays. We demonstrated that while tonsillar NK cells, ILC2s, and ILC3s originated from a common CD34-CD117+ ILC precursor pool, final steps of ILC2 development deviated independently and became mutually exclusive from those of NK cells and ILC3s, whose developmental pathways overlapped. Moreover, we identified a CD34-CD117+ ILC precursor population that expressed CD56 and gave rise to NK cells and ILC3s but not to ILC2s. These data support a model of human ILC development distinct from the mouse, whereby human NK cells and ILC3s share a common developmental pathway separate from ILC2s.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 35 tweeters 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Researcher 26 22%
Student > Master 21 18%
Student > Doctoral Student 8 7%
Student > Bachelor 4 3%
Other 8 7%
Unknown 23 19%
Readers by discipline Count As %
Immunology and Microbiology 48 41%
Agricultural and Biological Sciences 17 14%
Biochemistry, Genetics and Molecular Biology 13 11%
Medicine and Dentistry 8 7%
Computer Science 1 <1%
Other 3 3%
Unknown 28 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 21 August 2021.
All research outputs
of 24,411,829 outputs
Outputs from Immunity
of 4,714 outputs
Outputs of similar age
of 339,428 outputs
Outputs of similar age from Immunity
of 62 outputs
Altmetric has tracked 24,411,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.4. This one has gotten more attention than average, scoring higher than 71% 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 339,428 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 88% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.