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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recursive partitioning analysis of prognostic factors for glioblastoma patients aged 70 years or older
|
|---|---|
| Published in |
Cancer (0008543X), April 2012
|
| DOI | 10.1002/cncr.27570 |
| Pubmed ID | |
| Authors |
Jacob G. Scott, Luc Bauchet, Tyler J. Fraum, Lakshmi Nayak, Anna R. Cooper, Samuel T. Chao, John H. Suh, Michael A. Vogelbaum, David M. Peereboom, Sonia Zouaoui, Hélène Mathieu‐Daudé, Pascale Fabbro‐Peray, Valérie Rigau, Luc Taillandier, Lauren E. Abrey, Lisa M. DeAngelis, Joanna H. Shih, Fabio M. Iwamoto |
| Abstract |
The most-used prognostic scheme for malignant gliomas included only patients aged 18 to 70 years. The purpose of this study was to develop a prognostic model for patients ≥70 years of age with newly diagnosed glioblastoma. |
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 % |
|---|---|---|
| Spain | 2 | 67% |
| United States | 1 | 33% |
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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 79 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 12% |
| Researcher | 10 | 12% |
| Student > Bachelor | 9 | 11% |
| Student > Doctoral Student | 8 | 10% |
| Other | 8 | 10% |
| Other | 21 | 26% |
| Unknown | 15 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 56% |
| Neuroscience | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Mathematics | 2 | 2% |
| Chemistry | 2 | 2% |
| Other | 4 | 5% |
| Unknown | 21 | 26% |
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 29 November 2012.
All research outputs
#16,720,137
of 25,368,786 outputs
Outputs from Cancer (0008543X)
#12,146
of 14,095 outputs
Outputs of similar age
#110,707
of 174,271 outputs
Outputs of similar age from Cancer (0008543X)
#75
of 107 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,095 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one is in the 12th percentile – i.e., 12% 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 174,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.