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Differentially profiling the low-expression transcriptomes of human hepatoma using a novel SSH/microarray approach

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

patent
1 patent

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Differentially profiling the low-expression transcriptomes of human hepatoma using a novel SSH/microarray approach
Published in
BMC Genomics, May 2006
DOI 10.1186/1471-2164-7-131
Pubmed ID
Authors

Yi-Shin Pan, Yun-Shien Lee, Yung-Lin Lee, Wei-Chen Lee, Sen-Yung Hsieh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 4%
India 1 4%
South Africa 1 4%
Brazil 1 4%
Unknown 21 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 44%
Student > Ph. D. Student 5 20%
Student > Doctoral Student 2 8%
Professor 2 8%
Professor > Associate Professor 2 8%
Other 2 8%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 80%
Medicine and Dentistry 3 12%
Biochemistry, Genetics and Molecular Biology 1 4%
Unknown 1 4%
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 12 January 2012.
All research outputs
#7,489,401
of 22,893,031 outputs
Outputs from BMC Genomics
#3,612
of 10,670 outputs
Outputs of similar age
#22,652
of 64,721 outputs
Outputs of similar age from BMC Genomics
#15
of 30 outputs
Altmetric has tracked 22,893,031 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 10,670 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 64,721 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.