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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep sequencing of multiple regions of glial tumors reveals spatial heterogeneity for mutations in clinically relevant genes
|
|---|---|
| Published in |
Genome Biology, December 2014
|
| DOI | 10.1186/s13059-014-0530-z |
| Pubmed ID | |
| Authors |
Akash Kumar, Evan A Boyle, Mari Tokita, Andrei M Mikheev, Michelle C Sanger, Emily Girard, John R Silber, Luis F Gonzalez-Cuyar, Joseph B Hiatt, Andrew Adey, Choli Lee, Jacob O Kitzman, Donald E Born, Daniel L Silbergeld, James M Olson, Robert C Rostomily, Jay Shendure |
| Abstract |
The extent of intratumoral mutational heterogeneity remains unclear in gliomas, the most common primary brain tumors, especially with respect to point mutation. To address this, we applied single molecule molecular inversion probes targeting 33 cancer genes to assay both point mutations and gene amplifications within spatially distinct regions of 14 glial tumors. |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 1 | 14% |
| United States | 1 | 14% |
| Netherlands | 1 | 14% |
| Singapore | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Members of the public | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 73 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 25% |
| Researcher | 10 | 13% |
| Student > Bachelor | 8 | 11% |
| Other | 6 | 8% |
| Student > Master | 6 | 8% |
| Other | 15 | 20% |
| Unknown | 11 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 24% |
| Medicine and Dentistry | 14 | 19% |
| Biochemistry, Genetics and Molecular Biology | 11 | 15% |
| Computer Science | 5 | 7% |
| Neuroscience | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 16 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 21 January 2015.
All research outputs
#6,997,226
of 25,373,627 outputs
Outputs from Genome Biology
#3,217
of 4,467 outputs
Outputs of similar age
#88,685
of 368,282 outputs
Outputs of similar age from Genome Biology
#80
of 101 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 27th percentile – i.e., 27% 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 368,282 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.