↓ Skip to main content

Monitoring Genomic Sequences during SELEX Using High-Throughput Sequencing: Neutral SELEX

Overview of attention for article published in PLOS ONE, February 2010
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
patent
3 patents

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
149 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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
Monitoring Genomic Sequences during SELEX Using High-Throughput Sequencing: Neutral SELEX
Published in
PLOS ONE, February 2010
DOI 10.1371/journal.pone.0009169
Pubmed ID
Authors

Bob Zimmermann, Tanja Gesell, Doris Chen, Christina Lorenz, Renée Schroeder

Abstract

SELEX is a well established in vitro selection tool to analyze the structure of ligand-binding nucleic acid sequences called aptamers. Genomic SELEX transforms SELEX into a tool to discover novel, genomically encoded RNA or DNA sequences binding a ligand of interest, called genomic aptamers. Concerns have been raised regarding requirements imposed on RNA sequences undergoing SELEX selection.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
France 2 1%
Portugal 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
Austria 1 <1%
Japan 1 <1%
China 1 <1%
Unknown 135 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 32%
Student > Ph. D. Student 39 26%
Student > Master 19 13%
Student > Bachelor 13 9%
Other 8 5%
Other 20 13%
Unknown 2 1%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 49%
Biochemistry, Genetics and Molecular Biology 27 18%
Chemistry 14 9%
Medicine and Dentistry 5 3%
Materials Science 4 3%
Other 16 11%
Unknown 10 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 August 2022.
All research outputs
#7,063,294
of 23,106,934 outputs
Outputs from PLOS ONE
#84,403
of 197,132 outputs
Outputs of similar age
#46,959
of 167,722 outputs
Outputs of similar age from PLOS ONE
#329
of 654 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 197,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has gotten more attention than average, scoring higher than 55% 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 167,722 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 654 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.