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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DNA Genome Sequencing in Esophageal Adenocarcinoma. - PubMed - NCBI
|
|---|---|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7734-5_20 |
| Pubmed ID | |
| Authors |
Pillai, Suja, Gopalan, Vinod, Lam, Alfred K |
| Abstract |
Next-generation sequencing refers to the high-throughput DNA sequencing technologies, which are capable of sequencing large numbers of different DNA sequences in a single/parallel reaction. It is a powerful tool to identify inherited and acquired genetic alterations associated with the development of esophageal adenocarcinoma. Whole-genome sequencing is the most comprehensive but expensive, whereas whole-exome sequencing is cost-effective but it only works for the known genes. Thus, second-generation sequencing methods can provide a complete picture of the esophageal adenocarcinoma genome by detecting and discovering different type of alterations in the cancer. This would help in diagnostics and will further help in developing personalized medicine in esophageal adenocarcinoma. |
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 % |
|---|---|---|
| Unknown | 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 1 | 17% |
| Professor | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Student > Master | 1 | 17% |
| Researcher | 1 | 17% |
| Other | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 50% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Engineering | 1 | 17% |
| Unknown | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 31 March 2018.
All research outputs
#20,472,403
of 23,031,582 outputs
Outputs from Methods in molecular biology
#9,955
of 13,177 outputs
Outputs of similar age
#378,224
of 442,391 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,499 outputs
Altmetric has tracked 23,031,582 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,177 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 442,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.