| Title |
Evaluation of an integrated clinical workflow for targeted next-generation sequencing of low-quality tumor DNA using a 51-gene enrichment panel
|
|---|---|
| Published in |
BMC Medical Genomics, November 2014
|
| DOI | 10.1186/s12920-014-0062-0 |
| Pubmed ID | |
| Authors |
Ashish Choudhary, Elizabeth Mambo, Tiffany Sanford, Michael Boedigheimer, Brian Twomey, Joseph Califano, Andrew Hadd, Kelly S Oliner, Sylvie Beaudenon, Gary J Latham, Alex T Adai |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tunisia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| China | 1 | 1% |
| South Africa | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 80 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 31% |
| Other | 10 | 12% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Bachelor | 4 | 5% |
| Student > Master | 4 | 5% |
| Other | 5 | 6% |
| Unknown | 26 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 23% |
| Agricultural and Biological Sciences | 19 | 23% |
| Medicine and Dentistry | 8 | 10% |
| Nursing and Health Professions | 3 | 4% |
| Computer Science | 3 | 4% |
| Other | 6 | 7% |
| Unknown | 26 | 31% |
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 15 August 2018.
All research outputs
#6,971,469
of 22,858,915 outputs
Outputs from BMC Medical Genomics
#324
of 1,223 outputs
Outputs of similar age
#76,718
of 258,241 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 19 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,223 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 72% 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 258,241 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 69% of its contemporaries.
We're also able to compare this research output to 19 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 63% of its contemporaries.