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Tissue-specific gene expression templates for accurate molecular characterization of the normal physiological states of multiple human tissues with implication in development and cancer studies

Overview of attention for article published in BMC Genomics, September 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
1 CiteULike
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Title
Tissue-specific gene expression templates for accurate molecular characterization of the normal physiological states of multiple human tissues with implication in development and cancer studies
Published in
BMC Genomics, September 2011
DOI 10.1186/1471-2164-12-439
Pubmed ID
Authors

Pei-Ing Hwang, Huan-Bin Wu, Chin-Di Wang, Bai-Ling Lin, Cheng-Tao Chen, Shinsheng Yuan, Guani Wu, Ker-Chau Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 27%
Student > Ph. D. Student 9 24%
Student > Doctoral Student 5 14%
Student > Master 3 8%
Professor 2 5%
Other 4 11%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 38%
Biochemistry, Genetics and Molecular Biology 5 14%
Computer Science 4 11%
Medicine and Dentistry 4 11%
Immunology and Microbiology 3 8%
Other 3 8%
Unknown 4 11%
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 04 October 2018.
All research outputs
#7,610,760
of 23,205,257 outputs
Outputs from BMC Genomics
#3,644
of 10,725 outputs
Outputs of similar age
#43,927
of 125,999 outputs
Outputs of similar age from BMC Genomics
#29
of 78 outputs
Altmetric has tracked 23,205,257 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 10,725 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 125,999 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.