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Genome-wide identification of key modulators of gene-gene interaction networks in breast cancer

Overview of attention for article published in BMC Genomics, October 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

patent
1 patent

Readers on

mendeley
13 Mendeley
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Title
Genome-wide identification of key modulators of gene-gene interaction networks in breast cancer
Published in
BMC Genomics, October 2017
DOI 10.1186/s12864-017-4028-4
Pubmed ID
Authors

Yu-Chiao Chiu, Li-Ju Wang, Tzu-Hung Hsiao, Eric Y. Chuang, Yidong Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 31%
Researcher 3 23%
Student > Postgraduate 2 15%
Student > Ph. D. Student 1 8%
Lecturer > Senior Lecturer 1 8%
Other 2 15%
Readers by discipline Count As %
Engineering 4 31%
Medicine and Dentistry 2 15%
Agricultural and Biological Sciences 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Other 1 8%
Unknown 3 23%
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 24 August 2023.
All research outputs
#8,230,567
of 24,654,416 outputs
Outputs from BMC Genomics
#3,827
of 11,032 outputs
Outputs of similar age
#125,382
of 327,911 outputs
Outputs of similar age from BMC Genomics
#74
of 202 outputs
Altmetric has tracked 24,654,416 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 11,032 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 327,911 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 53% of its contemporaries.
We're also able to compare this research output to 202 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 61% of its contemporaries.