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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SASI-Seq: sample assurance Spike-Ins, and highly differentiating 384 barcoding for Illumina sequencing
|
|---|---|
| Published in |
BMC Genomics, February 2014
|
| DOI | 10.1186/1471-2164-15-110 |
| Pubmed ID | |
| Authors |
Michael A Quail, Miriam Smith, David Jackson, Steven Leonard, Thomas Skelly, Harold P Swerdlow, Yong Gu, Peter Ellis |
| Abstract |
A minor but significant fraction of samples subjected to next-generation sequencing methods are either mixed-up or cross-contaminated. These events can lead to false or inconclusive results. We have therefore developed SASI-Seq; a process whereby a set of uniquely barcoded DNA fragments are added to samples destined for sequencing. From the final sequencing data, one can verify that all the reads derive from the original sample(s) and not from contaminants or other samples. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 5 | 45% |
| Canada | 2 | 18% |
| Germany | 1 | 9% |
| Sweden | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 3 | 2% |
| Germany | 2 | 1% |
| Brazil | 1 | <1% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 127 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 56 | 40% |
| Student > Ph. D. Student | 21 | 15% |
| Other | 17 | 12% |
| Student > Master | 11 | 8% |
| Student > Postgraduate | 6 | 4% |
| Other | 17 | 12% |
| Unknown | 11 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 54% |
| Biochemistry, Genetics and Molecular Biology | 25 | 18% |
| Medicine and Dentistry | 13 | 9% |
| Computer Science | 3 | 2% |
| Immunology and Microbiology | 3 | 2% |
| Other | 6 | 4% |
| Unknown | 14 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 04 July 2023.
All research outputs
#1,508,791
of 25,706,302 outputs
Outputs from BMC Genomics
#267
of 11,305 outputs
Outputs of similar age
#16,732
of 324,229 outputs
Outputs of similar age from BMC Genomics
#6
of 200 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,305 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 324,229 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 94% of its contemporaries.
We're also able to compare this research output to 200 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.