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X Demographics
Mendeley readers
Attention Score in Context
| Title |
F11R Is a Novel Monocyte Prognostic Biomarker for Malignant Glioma
|
|---|---|
| Published in |
PLOS ONE, October 2013
|
| DOI | 10.1371/journal.pone.0077571 |
| Pubmed ID | |
| Authors |
Winnie W. Pong, Jason Walker, Todd Wylie, Vincent Magrini, Jingqin Luo, Ryan J. Emnett, Jaebok Choi, Matthew L. Cooper, Malachi Griffith, Obi L. Griffith, Joshua B. Rubin, Gregory N. Fuller, David Piwnica-Worms, Xi Feng, Dolores Hambardzumyan, John F. DiPersio, Elaine R. Mardis, David H. Gutmann |
| Abstract |
Brain tumors (gliomas) contain large populations of infiltrating macrophages and recruited microglia, which in experimental murine glioma models promote tumor formation and progression. Among the barriers to understanding the contributions of these stromal elements to high-grade glioma (glioblastoma; GBM) biology is the relative paucity of tools to characterize infiltrating macrophages and resident microglia. In this study, we leveraged multiple RNA analysis platforms to identify new monocyte markers relevant to GBM patient outcome. |
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 % |
|---|---|---|
| India | 1 | 33% |
| Italy | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 78 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 23% |
| Researcher | 14 | 18% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 16 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 22% |
| Agricultural and Biological Sciences | 13 | 16% |
| Neuroscience | 12 | 15% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Immunology and Microbiology | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 19 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 02 November 2013.
All research outputs
#1,870,164
of 22,727,570 outputs
Outputs from PLOS ONE
#24,117
of 193,986 outputs
Outputs of similar age
#18,378
of 210,284 outputs
Outputs of similar age from PLOS ONE
#662
of 5,128 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,986 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 87% 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 210,284 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 5,128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.