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Novel subtractive transcription-based amplification of mRNA (STAR) method and its application in search of rare and differentially expressed genes in AD brains

Overview of attention for article published in BMC Genomics, November 2006
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Mentioned by

patent
1 patent

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
1 CiteULike
connotea
2 Connotea
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Title
Novel subtractive transcription-based amplification of mRNA (STAR) method and its application in search of rare and differentially expressed genes in AD brains
Published in
BMC Genomics, November 2006
DOI 10.1186/1471-2164-7-286
Pubmed ID
Authors

Qing Yan Liu, Roy R Sooknanan, Lawrence T Malek, Maria Ribecco-Lutkiewicz, Joy X Lei, Hui Shen, Boleslaw Lach, P Roy Walker, Joel Martin, Marianna Sikorska

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
France 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Professor 5 15%
Student > Bachelor 4 12%
Student > Master 4 12%
Student > Ph. D. Student 3 9%
Other 6 18%
Unknown 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 29%
Medicine and Dentistry 4 12%
Computer Science 3 9%
Neuroscience 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 6 18%
Unknown 6 18%
Attention Score in Context

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 23 January 2014.
All research outputs
#7,553,524
of 23,041,514 outputs
Outputs from BMC Genomics
#3,632
of 10,697 outputs
Outputs of similar age
#24,526
of 70,379 outputs
Outputs of similar age from BMC Genomics
#13
of 28 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,697 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 70,379 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.