You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Immune phenotypes predict survival in patients with glioblastoma multiforme
|
|---|---|
| Published in |
Journal of Hematology & Oncology, September 2016
|
| DOI | 10.1186/s13045-016-0272-3 |
| Pubmed ID | |
| Authors |
Haouraa Mostafa, Andrej Pala, Josef Högel, Michal Hlavac, Elvira Dietrich, M. Andrew Westhoff, Lisa Nonnenmacher, Timo Burster, Michael Georgieff, C. Rainer Wirtz, E. Marion Schneider |
| Abstract |
Glioblastoma multiforme (GBM), a common primary malignant brain tumor, rarely disseminates beyond the central nervous system and has a very bad prognosis. The current study aimed at the analysis of immunological control in individual patients with GBM. Immune phenotypes and plasma biomarkers of GBM patients were determined at the time of diagnosis using flow cytometry and ELISA, respectively. Using descriptive statistics, we found that immune anomalies were distinct in individual patients. Defined marker profiles proved highly relevant for survival. A remarkable relation between activated NK cells and improved survival in GBM patients was in contrast to increased CD39 and IL-10 in patients with a detrimental course and very short survival. Recursive partitioning analysis (RPA) and Cox proportional hazards models substantiated the relevance of absolute numbers of CD8 cells and low numbers of CD39 cells for better survival. Defined alterations of the immune system may guide the course of disease in patients with GBM and may be prognostically valuable for longitudinal studies or can be applied for immune intervention. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 17% |
| Researcher | 11 | 16% |
| Student > Doctoral Student | 7 | 10% |
| Student > Master | 7 | 10% |
| Student > Bachelor | 6 | 9% |
| Other | 13 | 19% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 27% |
| Biochemistry, Genetics and Molecular Biology | 11 | 16% |
| Immunology and Microbiology | 8 | 11% |
| Neuroscience | 6 | 9% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 4 | 6% |
| Unknown | 19 | 27% |
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 18 July 2018.
All research outputs
#14,858,822
of 22,886,568 outputs
Outputs from Journal of Hematology & Oncology
#723
of 1,192 outputs
Outputs of similar age
#205,413
of 337,395 outputs
Outputs of similar age from Journal of Hematology & Oncology
#20
of 31 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,192 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 35th percentile – i.e., 35% 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 337,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 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.