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Quantitative comparison of EST libraries requires compensation for systematic biases in cDNA generation

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
41 Mendeley
connotea
1 Connotea
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Title
Quantitative comparison of EST libraries requires compensation for systematic biases in cDNA generation
Published in
BMC Bioinformatics, February 2006
DOI 10.1186/1471-2105-7-77
Pubmed ID
Authors

Donglin Liu, Joel H Graber

Abstract

Publicly accessible EST libraries contain valuable information that can be utilized for studies of tissue-specific gene expression and processing of individual genes. This information is, however, confounded by multiple systematic effects arising from the procedures used to generate these libraries.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Argentina 1 2%
Brazil 1 2%
Unknown 37 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 27%
Student > Ph. D. Student 10 24%
Researcher 8 20%
Student > Bachelor 7 17%
Professor 1 2%
Other 2 5%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 61%
Biochemistry, Genetics and Molecular Biology 11 27%
Computer Science 2 5%
Nursing and Health Professions 1 2%
Unknown 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 31 December 2019.
All research outputs
#2,172,009
of 14,291,740 outputs
Outputs from BMC Bioinformatics
#939
of 5,374 outputs
Outputs of similar age
#44,267
of 284,139 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 42 outputs
Altmetric has tracked 14,291,740 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,374 research outputs from this source. They receive a mean Attention Score of 4.9. 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 284,139 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 84% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.