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Attention Score in Context
| Title |
Dysregulation of Chemokine/Chemokine Receptor Axes and NK Cell Tissue Localization during Diseases
|
|---|---|
| Published in |
Frontiers in immunology, October 2016
|
| DOI | 10.3389/fimmu.2016.00402 |
| Pubmed ID | |
| Authors |
Giovanni Bernardini, Fabrizio Antonangeli, Valentina Bonanni, Angela Santoni |
| Abstract |
Chemokines are small chemotactic molecules that play key roles in physiological and pathological conditions. Upon signaling via their specific receptors, chemokines regulate tissue mobilization and trafficking of a wide array of immune cells, including natural killer (NK) cells. Current research is focused on analyzing changes in chemokine/chemokine receptor expression during various diseases to interfere with pathological trafficking of cells or to recruit selected cell types to specific tissues. NK cells are a heterogeneous lymphocyte population comprising several subsets endowed with distinct functional properties and mainly representing distinct stages of a linear development process. Because of their different functional potential, the type of subset that accumulates in a tissue drives the final outcome of NK cell-regulated immune response, leading to either protection or pathology. Correspondingly, chemokine receptors, including CXCR4, CXCR3, and CX3CR1, are differentially expressed by NK cell subsets, and their expression levels can be modulated during NK cell activation. At first, this review will summarize the current knowledge on the contribution of chemokines to the localization and generation of NK cell subsets in homeostasis. How an inappropriate chemotactic response can lead to pathology and how chemokine targeting can therapeutically affect tissue recruitment/localization of distinct NK cell subsets will also be discussed. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | <1% |
| Unknown | 139 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 23% |
| Researcher | 26 | 19% |
| Student > Master | 14 | 10% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 7 | 5% |
| Other | 17 | 12% |
| Unknown | 33 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 27 | 19% |
| Biochemistry, Genetics and Molecular Biology | 26 | 19% |
| Agricultural and Biological Sciences | 20 | 14% |
| Medicine and Dentistry | 18 | 13% |
| Engineering | 3 | 2% |
| Other | 11 | 8% |
| Unknown | 35 | 25% |
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 06 October 2016.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from Frontiers in immunology
#27,417
of 31,516 outputs
Outputs of similar age
#286,845
of 327,136 outputs
Outputs of similar age from Frontiers in immunology
#144
of 176 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,516 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% 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 327,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.