↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
29 Mendeley
citeulike
1 CiteULike
connotea
2 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
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
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

The data shown below were compiled from readership statistics for 29 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 27 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Master 4 14%
Professor 4 14%
Student > Bachelor 3 10%
Student > Ph. D. Student 3 10%
Other 6 21%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 34%
Medicine and Dentistry 4 14%
Computer Science 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Engineering 2 7%
Other 6 21%
Unknown 3 10%

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
#5,610,213
of 17,367,552 outputs
Outputs from BMC Genomics
#3,042
of 9,281 outputs
Outputs of similar age
#111,718
of 286,930 outputs
Outputs of similar age from BMC Genomics
#6
of 22 outputs
Altmetric has tracked 17,367,552 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,281 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 60% 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 286,930 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 58% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.