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Natural Killer T cell subsets in eutopic and ectopic endometrium: a fresh look to a busy corner

Overview of attention for article published in Archives of Gynecology and Obstetrics, January 2016
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Title
Natural Killer T cell subsets in eutopic and ectopic endometrium: a fresh look to a busy corner
Published in
Archives of Gynecology and Obstetrics, January 2016
DOI 10.1007/s00404-015-4004-7
Pubmed ID
Authors

Antonio Simone Laganà, Onofrio Triolo, Francesca Maria Salmeri, Roberta Granese, Vittorio Italo Palmara, Helena Ban Frangež, Eda Vrtčnik Bokal, Vincenza Sofo

Abstract

Invariant Natural Killer T cells (iNKT) are a specialized subset of T cells that use their T cell receptor to recognize self and foreign lipids presented by CD1d as cognate antigens. iNKT have been shown to have either protective or harmful roles in many pathological states, including microbial infection, autoimmune disease, allergic disease and cancer. Accumulating evidence seems to suggest that this unique T cell subset combines both classically innate and adaptive immunologic characteristic. Considering these recent data, the aim of work was to review the current knowledge about iNKT in eutopic and ectopic endometrium. Narrative overview, synthesizing the findings of literature retrieved from searches of computerized databases. Currently, the immune paradigm of reproduction is gradually changing shape: recent data confirmed that cytokine milieu influences the development and plasticity of different subtype of mononuclear cells, and in turn it can be influenced by the cytokine production of the latter. Among the different NKT cell populations, the recently characterized iNKT seems to share actions typical both of innate and adaptive immunity, being capable of secreting Th1 as well as Th2 cytokine pattern. Moreover, several subtypes of iNKT were identified, who partially express the same master transcription factors of the corresponding T cells counterpart. Although the data about iNKT's actions in eutopic and ectopic endometrium are still scarce, it is possible to hypothesize that future investigation can shed light on this point, thus allowing a better knowledge about the regulation of these two microenvironments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 2%
Australia 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 9 15%
Student > Master 9 15%
Student > Ph. D. Student 8 14%
Researcher 7 12%
Student > Bachelor 6 10%
Other 12 20%
Unknown 8 14%
Readers by discipline Count As %
Medicine and Dentistry 21 36%
Agricultural and Biological Sciences 6 10%
Nursing and Health Professions 5 8%
Immunology and Microbiology 5 8%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 3 5%
Unknown 16 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 April 2019.
All research outputs
#14,889,699
of 23,815,455 outputs
Outputs from Archives of Gynecology and Obstetrics
#1,028
of 2,066 outputs
Outputs of similar age
#211,122
of 397,784 outputs
Outputs of similar age from Archives of Gynecology and Obstetrics
#21
of 30 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,066 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 42nd percentile – i.e., 42% 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 397,784 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.