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Mendeley readers
Attention Score in Context
| Title |
Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: a TCGA glioma phenotype research group project
|
|---|---|
| Published in |
BMC Medical Genomics, June 2014
|
| DOI | 10.1186/1755-8794-7-30 |
| Pubmed ID | |
| Authors |
Rivka R Colen, Mark Vangel, Jixin Wang, David A Gutman, Scott N Hwang, Max Wintermark, Rajan Jain, Manal Jilwan-Nicolas, James Y Chen, Prashant Raghavan, Chad A Holder, Daniel Rubin, Eric Huang, Justin Kirby, John Freymann, Carl C Jaffe, Adam Flanders, TCGA Glioma Phenotype Research Group, Pascal O Zinn |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Netherlands | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 92 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 17% |
| Researcher | 12 | 13% |
| Student > Doctoral Student | 11 | 11% |
| Other | 8 | 8% |
| Student > Master | 8 | 8% |
| Other | 22 | 23% |
| Unknown | 19 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 31% |
| Computer Science | 9 | 9% |
| Mathematics | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Agricultural and Biological Sciences | 6 | 6% |
| Other | 16 | 17% |
| Unknown | 21 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 April 2023.
All research outputs
#7,756,853
of 23,578,918 outputs
Outputs from BMC Medical Genomics
#379
of 1,256 outputs
Outputs of similar age
#74,438
of 228,355 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 22 outputs
Altmetric has tracked 23,578,918 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,256 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 65% 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 228,355 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.