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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Performance comparison of four exome capture systems for deep sequencing
|
|---|---|
| Published in |
BMC Genomics, June 2014
|
| DOI | 10.1186/1471-2164-15-449 |
| Pubmed ID | |
| Authors |
Chandra Sekhar Reddy Chilamakuri, Susanne Lorenz, Mohammed-Amin Madoui, Daniel Vodák, Jinchang Sun, Eivind Hovig, Ola Myklebost, Leonardo A Meza-Zepeda |
| Abstract |
Recent developments in deep (next-generation) sequencing technologies are significantly impacting medical research. The global analysis of protein coding regions in genomes of interest by whole exome sequencing is a widely used application. Many technologies for exome capture are commercially available; here we compare the performance of four of them: NimbleGen's SeqCap EZ v3.0, Agilent's SureSelect v4.0, Illumina's TruSeq Exome, and Illumina's Nextera Exome, all applied to the same human tumor DNA sample. |
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 % |
|---|---|---|
| Canada | 3 | 43% |
| United States | 2 | 29% |
| United Kingdom | 1 | 14% |
| Germany | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Members of the public | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 314 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| United Kingdom | 3 | <1% |
| Italy | 2 | <1% |
| Brazil | 2 | <1% |
| Australia | 1 | <1% |
| Ghana | 1 | <1% |
| Colombia | 1 | <1% |
| France | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 295 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 88 | 28% |
| Student > Ph. D. Student | 71 | 23% |
| Student > Master | 32 | 10% |
| Other | 30 | 10% |
| Student > Bachelor | 20 | 6% |
| Other | 43 | 14% |
| Unknown | 30 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 135 | 43% |
| Biochemistry, Genetics and Molecular Biology | 82 | 26% |
| Medicine and Dentistry | 32 | 10% |
| Computer Science | 14 | 4% |
| Neuroscience | 4 | 1% |
| Other | 13 | 4% |
| Unknown | 34 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 07 November 2023.
All research outputs
#1,852,504
of 25,371,288 outputs
Outputs from BMC Genomics
#398
of 11,244 outputs
Outputs of similar age
#18,074
of 243,425 outputs
Outputs of similar age from BMC Genomics
#11
of 282 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 243,425 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 282 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.