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X Demographics
Mendeley readers
Attention Score in Context
Title |
Pacific biosciences sequencing technology for genotyping and variation discovery in human data
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Published in |
BMC Genomics, August 2012
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DOI | 10.1186/1471-2164-13-375 |
Pubmed ID | |
Authors |
Mauricio O Carneiro, Carsten Russ, Michael G Ross, Stacey B Gabriel, Chad Nusbaum, Mark A DePristo |
Abstract |
Pacific Biosciences technology provides a fundamentally new data type that provides the potential to overcome some limitations of current next generation sequencing platforms by providing significantly longer reads, single molecule sequencing, low composition bias and an error profile that is orthogonal to other platforms. With these potential advantages in mind, we here evaluate the utility of the Pacific Biosciences RS platform for human medical amplicon resequencing projects. |
X Demographics
The data shown below were collected from the profiles of 20 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 States | 5 | 25% |
Germany | 3 | 15% |
United Kingdom | 2 | 10% |
France | 1 | 5% |
Sweden | 1 | 5% |
Norway | 1 | 5% |
Sao Tome and Principe | 1 | 5% |
Unknown | 6 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 50% |
Scientists | 9 | 45% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 467 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 2% |
Netherlands | 7 | 1% |
United Kingdom | 4 | <1% |
Brazil | 3 | <1% |
Australia | 2 | <1% |
Germany | 2 | <1% |
Sweden | 2 | <1% |
Spain | 2 | <1% |
Canada | 2 | <1% |
Other | 8 | 2% |
Unknown | 425 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 110 | 24% |
Student > Ph. D. Student | 102 | 22% |
Student > Master | 59 | 13% |
Student > Bachelor | 33 | 7% |
Other | 30 | 6% |
Other | 79 | 17% |
Unknown | 54 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 222 | 48% |
Biochemistry, Genetics and Molecular Biology | 83 | 18% |
Computer Science | 30 | 6% |
Medicine and Dentistry | 20 | 4% |
Immunology and Microbiology | 8 | 2% |
Other | 36 | 8% |
Unknown | 68 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 May 2020.
All research outputs
#2,459,416
of 25,373,627 outputs
Outputs from BMC Genomics
#657
of 11,244 outputs
Outputs of similar age
#15,716
of 180,058 outputs
Outputs of similar age from BMC Genomics
#10
of 167 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th 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 94% 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 180,058 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 91% of its contemporaries.
We're also able to compare this research output to 167 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 94% of its contemporaries.