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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Myeloid-derived suppressor cells in transplantation: the dawn of cell therapy
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2018
|
| DOI | 10.1186/s12967-018-1395-9 |
| Pubmed ID | |
| Authors |
Weitao Zhang, Jiawei Li, Guisheng Qi, Guowei Tu, Cheng Yang, Ming Xu |
| Abstract |
Myeloid-derived suppressor cells (MDSCs) are a series of innate cells that play a significant role in inhibiting T cell-related responses. This heterogeneous population of immature cells is involved in tumor immunity. Recently, the function and importance of MDSCs in transplantation have garnered the attention of scientists and have become an important focus of transplantation immunology research because MDSCs play a key role in establishing immune tolerance in transplantation. In this review, we summarize recent studies of MDSCs in different types of transplantation. We also focus on the influence of immunosuppressive drugs on MDSCs as well as future obstacles and research directions in this field. |
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 % |
|---|---|---|
| Unknown | 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 27% |
| Student > Bachelor | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Researcher | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 11 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Medicine and Dentistry | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 13 | 43% |
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 29 January 2018.
All research outputs
#15,489,831
of 23,018,998 outputs
Outputs from Journal of Translational Medicine
#2,258
of 4,027 outputs
Outputs of similar age
#270,465
of 441,593 outputs
Outputs of similar age from Journal of Translational Medicine
#53
of 85 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,027 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 31st percentile – i.e., 31% 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 441,593 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.