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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of somatic mutations in cancer through Bayesian-based analysis of sequenced genome pairs
|
|---|---|
| Published in |
BMC Genomics, May 2013
|
| DOI | 10.1186/1471-2164-14-302 |
| Pubmed ID | |
| Authors |
Alexis Christoforides, John D Carpten, Glen J Weiss, Michael J Demeure, Daniel D Von Hoff, David W Craig |
| Abstract |
The field of cancer genomics has rapidly adopted next-generation sequencing (NGS) in order to study and characterize malignant tumors with unprecedented resolution. In particular for cancer, one is often trying to identify somatic mutations--changes specific to a tumor and not within an individual's germline. However, false positive and false negative detections often result from lack of sufficient variant evidence, contamination of the biopsy by stromal tissue, sequencing errors, and the erroneous classification of germline variation as tumor-specific. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Montenegro | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| France | 1 | <1% |
| Unknown | 98 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 32% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Master | 12 | 12% |
| Other | 8 | 8% |
| Student > Doctoral Student | 7 | 7% |
| Other | 19 | 18% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 35% |
| Biochemistry, Genetics and Molecular Biology | 17 | 17% |
| Computer Science | 16 | 16% |
| Medicine and Dentistry | 11 | 11% |
| Engineering | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 13 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 March 2021.
All research outputs
#6,391,923
of 22,709,015 outputs
Outputs from BMC Genomics
#2,870
of 10,624 outputs
Outputs of similar age
#53,739
of 192,833 outputs
Outputs of similar age from BMC Genomics
#31
of 115 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 71% 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 192,833 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 70% of its contemporaries.
We're also able to compare this research output to 115 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 72% of its contemporaries.