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X Demographics
Mendeley readers
Attention Score in Context
Title |
Improved workflows for high throughput library preparation using the transposome-based nextera system
|
---|---|
Published in |
BMC Biotechnology, November 2013
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DOI | 10.1186/1472-6750-13-104 |
Pubmed ID | |
Authors |
Sarah Lamble, Elizabeth Batty, Moustafa Attar, David Buck, Rory Bowden, Gerton Lunter, Derrick Crook, Bassam El-Fahmawi, Paolo Piazza |
Abstract |
The Nextera protocol, which utilises a transposome based approach to create libraries for Illumina sequencing, requires pure DNA template, an accurate assessment of input concentration and a column clean-up that limits its applicability for high-throughput sample preparation. We addressed the identified limitations to develop a robust workflow that supports both rapid and high-throughput projects also reducing reagent costs. |
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 % |
---|---|---|
United Kingdom | 2 | 29% |
Sweden | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 86% |
Members of the public | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 246 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% |
Sweden | 2 | <1% |
Chile | 1 | <1% |
Ireland | 1 | <1% |
France | 1 | <1% |
Belgium | 1 | <1% |
Argentina | 1 | <1% |
Japan | 1 | <1% |
Other | 1 | <1% |
Unknown | 229 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 65 | 26% |
Student > Ph. D. Student | 50 | 20% |
Student > Master | 22 | 9% |
Student > Bachelor | 21 | 9% |
Other | 14 | 6% |
Other | 46 | 19% |
Unknown | 28 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 116 | 47% |
Biochemistry, Genetics and Molecular Biology | 40 | 16% |
Immunology and Microbiology | 13 | 5% |
Medicine and Dentistry | 11 | 4% |
Engineering | 8 | 3% |
Other | 22 | 9% |
Unknown | 36 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 16 January 2024.
All research outputs
#2,632,879
of 24,527,858 outputs
Outputs from BMC Biotechnology
#72
of 964 outputs
Outputs of similar age
#29,732
of 312,867 outputs
Outputs of similar age from BMC Biotechnology
#2
of 18 outputs
Altmetric has tracked 24,527,858 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 964 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 92% 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 312,867 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 90% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.