↓ Skip to main content

Identifying cooperative transcription factors in yeast using multiple data sources

Overview of attention for article published in BMC Systems Biology, December 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
19 Mendeley
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
Identifying cooperative transcription factors in yeast using multiple data sources
Published in
BMC Systems Biology, December 2014
DOI 10.1186/1752-0509-8-s5-s2
Pubmed ID
Authors

Fu-Jou Lai, Mei-Huei Jhu, Chia-Chun Chiu, Yueh-Min Huang, Wei-Sheng Wu

Abstract

Transcriptional regulation of gene expression is usually accomplished by multiple interactive transcription factors (TFs). Therefore, it is crucial to understand the precise cooperative interactions among TFs. Various kinds of experimental data including ChIP-chip, TF binding site (TFBS), gene expression, TF knockout and protein-protein interaction data have been used to identify cooperative TF pairs in existing methods. The nucleosome occupancy data is not yet used for this research topic despite that several researches have revealed the association between nucleosomes and TFBSs.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Researcher 5 26%
Student > Master 4 21%
Professor 1 5%
Lecturer > Senior Lecturer 1 5%
Other 1 5%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 47%
Computer Science 3 16%
Biochemistry, Genetics and Molecular Biology 3 16%
Unknown 4 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 September 2015.
All research outputs
#12,361,236
of 18,804,592 outputs
Outputs from BMC Systems Biology
#637
of 1,131 outputs
Outputs of similar age
#182,093
of 323,049 outputs
Outputs of similar age from BMC Systems Biology
#63
of 111 outputs
Altmetric has tracked 18,804,592 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,131 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 323,049 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.