↓ Skip to main content

Palindromic sequence impedes sequencing-by-ligation mechanism

Overview of attention for article published in BMC Systems Biology, December 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
3 X users
wikipedia
7 Wikipedia pages

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
122 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Palindromic sequence impedes sequencing-by-ligation mechanism
Published in
BMC Systems Biology, December 2012
DOI 10.1186/1752-0509-6-s2-s10
Pubmed ID
Authors

Yu-Feng Huang, Sheng-Chung Chen, Yih-Shien Chiang, Tzu-Han Chen, Kuo-Ping Chiu

Abstract

Current next-generation sequencing (NGS) platforms adopt two types of sequencing mechanisms: by synthesis or by ligation. The former is employed by 454 and Solexa systems, while the latter by SOLiD system. Although the pros and cons for each sequencing mechanism have more or less been discussed in a number of occasions, the potential obstacle imposed by palindromic sequences has not yet been addressed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 2%
Korea, Republic of 1 <1%
Netherlands 1 <1%
Nigeria 1 <1%
United States 1 <1%
Unknown 115 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 20%
Student > Ph. D. Student 19 16%
Student > Master 18 15%
Researcher 16 13%
Student > Doctoral Student 9 7%
Other 13 11%
Unknown 23 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 34%
Biochemistry, Genetics and Molecular Biology 29 24%
Chemistry 5 4%
Computer Science 5 4%
Engineering 3 2%
Other 11 9%
Unknown 27 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 December 2020.
All research outputs
#6,116,499
of 22,693,205 outputs
Outputs from BMC Systems Biology
#209
of 1,142 outputs
Outputs of similar age
#64,152
of 278,750 outputs
Outputs of similar age from BMC Systems Biology
#5
of 56 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 81% 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 278,750 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 76% of its contemporaries.
We're also able to compare this research output to 56 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 91% of its contemporaries.