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Degenerated primer design to amplify the heavy chain variable region from immunoglobulin cDNA

Overview of attention for article published in BMC Bioinformatics, January 2006
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Degenerated primer design to amplify the heavy chain variable region from immunoglobulin cDNA
Published in
BMC Bioinformatics, January 2006
DOI 10.1186/1471-2105-7-s4-s9
Pubmed ID
Authors

Ying Wang, Wei Chen, Xu Li, Bing Cheng

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
India 1 2%
France 1 2%
United Kingdom 1 2%
Switzerland 1 2%
Unknown 36 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 40%
Student > Ph. D. Student 10 24%
Student > Master 5 12%
Student > Bachelor 2 5%
Professor 1 2%
Other 5 12%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 57%
Biochemistry, Genetics and Molecular Biology 8 19%
Immunology and Microbiology 3 7%
Medicine and Dentistry 2 5%
Computer Science 1 2%
Other 2 5%
Unknown 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 October 2018.
All research outputs
#4,578,370
of 14,821,238 outputs
Outputs from BMC Bioinformatics
#2,100
of 5,497 outputs
Outputs of similar age
#50,658
of 132,602 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 5 outputs
Altmetric has tracked 14,821,238 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,497 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 53% 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 132,602 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 61% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.