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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Immunomodulatory Functions of Diacylglycerol Kinase ζ
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, September 2016
|
| DOI | 10.3389/fcell.2016.00096 |
| Pubmed ID | |
| Authors |
Brenal K. Singh, Taku Kambayashi |
| Abstract |
The generation of diacylglycerol (DAG) is critical for promoting immune cell activation, regulation, and function. Diacylglycerol kinase ζ (DGKζ) serves as an important negative regulator of DAG by enzymatically converting DAG into phosphatidic acid (PA) to shut down DAG-mediated signaling. Consequently, the loss of DGKζ increases DAG levels and the duration of DAG-mediated signaling. However, while the enhancement of DAG signaling is thought to augment immune cell function, the loss of DGKζ can result in both immunoactivation and immunomodulation depending on the cell type and function. In this review, we discuss how different immune cell functions can be selectively modulated by DGKζ. Furthermore, we consider how targeting DGKζ can be potentially beneficial for the resolution of human diseases by either promoting immune responses important for protection against infection or cancer or dampening immune responses in immunopathologic conditions such as allergy and septic shock. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 26% |
| Student > Ph. D. Student | 4 | 13% |
| Student > Doctoral Student | 3 | 10% |
| Student > Master | 2 | 6% |
| Other | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 10 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Immunology and Microbiology | 3 | 10% |
| Agricultural and Biological Sciences | 3 | 10% |
| Veterinary Science and Veterinary Medicine | 2 | 6% |
| Chemistry | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 12 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 October 2016.
All research outputs
#18,640,052
of 23,923,788 outputs
Outputs from Frontiers in Cell and Developmental Biology
#4,585
of 9,631 outputs
Outputs of similar age
#247,439
of 338,889 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#22
of 37 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,631 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 45th percentile – i.e., 45% 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 338,889 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.