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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NK Cell Subgroups, Phenotype, and Functions After Autologous Stem Cell Transplantation
|
|---|---|
| Published in |
Frontiers in immunology, November 2015
|
| DOI | 10.3389/fimmu.2015.00583 |
| Pubmed ID | |
| Authors |
Benedikt Jacobs, Sara Tognarelli, Kerstin Poller, Peter Bader, Andreas Mackensen, Evelyn Ullrich |
| Abstract |
High-dose chemotherapy with consecutive autologous stem cell transplantation (autoSCT) is a well-established treatment option for patients suffering from malignant lymphoma or multiple myeloma. Natural killer (NK) cells are an important part of the immune surveillance, and their cell number after autoSCT is predictive for progression-free and overall survival. To improve knowledge about the role of NK cells after autoSCT, we investigated different NK cell subgroups, their phenotype, and their functions in patients treated with autoSCT. Directly after leukocyte regeneration (>1000 leukocytes/μl) following autoSCT, CD56(++) NK cells were the major NK cell subset. Surprisingly, these cells showed unusually high surface expression levels of CD57 and killer Ig-like receptors (KIRs) compared to expression levels before or at later time points after autoSCT. Moreover, these NK cells strongly upregulated KIR2DL2/3/S2 and KIR3DL1, whereas KIR2DL1/S1 remained constant, indicating that this cell population arose from more immature NK cells instead of from activated mature ones. Remarkably, NK cells were already able to degranulate and produce IFN-γ and MIP-1β upon tumor interaction early after leukocyte regeneration. In conclusion, we describe an unusual upregulation of CD57 and KIRs on CD56(++) NK cells shortly after autoSCT. Importantly, these NK cells were functionally competent upon tumor interaction at this early time point. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 2% |
| Unknown | 52 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 23% |
| Researcher | 11 | 21% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Other | 4 | 8% |
| Other | 10 | 19% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 32% |
| Agricultural and Biological Sciences | 13 | 25% |
| Immunology and Microbiology | 8 | 15% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Nursing and Health Professions | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 8 | 15% |
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 05 December 2015.
All research outputs
#15,169,543
of 25,374,647 outputs
Outputs from Frontiers in immunology
#14,206
of 31,520 outputs
Outputs of similar age
#198,991
of 392,994 outputs
Outputs of similar age from Frontiers in immunology
#68
of 133 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,520 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 52% 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 392,994 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.