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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis
|
|---|---|
| Published in |
BMC Genomics, January 2012
|
| DOI | 10.1186/1471-2164-13-43 |
| Pubmed ID | |
| Authors |
Jing Tu, Qinyu Ge, Shengqin Wang, Lei Wang, Beili Sun, Qi Yang, Yunfei Bai, Zuhong Lu |
| Abstract |
The multiplexing becomes the major limitation of the next-generation sequencing (NGS) in application to low complexity samples. Physical space segregation allows limited multiplexing, while the existing barcode approach only permits simultaneously analysis of up to several dozen samples. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| Germany | 1 | 20% |
| Italy | 1 | 20% |
| France | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Italy | 1 | 1% |
| Sweden | 1 | 1% |
| Mexico | 1 | 1% |
| South Africa | 1 | 1% |
| Spain | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 62 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 39% |
| Student > Ph. D. Student | 18 | 25% |
| Student > Master | 9 | 13% |
| Other | 3 | 4% |
| Student > Postgraduate | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 61% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Computer Science | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Environmental Science | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 8 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 13 April 2017.
All research outputs
#4,571,052
of 23,023,224 outputs
Outputs from BMC Genomics
#1,892
of 10,699 outputs
Outputs of similar age
#39,903
of 247,564 outputs
Outputs of similar age from BMC Genomics
#51
of 278 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,699 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 247,564 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 278 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.