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Hierarchical cooperation of transcription factors from integration analysis of DNA sequences, ChIP-Seq and ChIA-PET data

Overview of attention for article published in BMC Genomics, May 2019
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  • 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 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Hierarchical cooperation of transcription factors from integration analysis of DNA sequences, ChIP-Seq and ChIA-PET data
Published in
BMC Genomics, May 2019
DOI 10.1186/s12864-019-5535-2
Pubmed ID
Authors

Ruimin Wang, Yunlong Wang, Xueying Zhang, Yaliang Zhang, Xiaoyong Du, Yaping Fang, Guoliang Li

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Ph. D. Student 3 18%
Student > Master 2 12%
Student > Doctoral Student 1 6%
Other 1 6%
Other 3 18%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 47%
Agricultural and Biological Sciences 1 6%
Computer Science 1 6%
Psychology 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 4 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 February 2020.
All research outputs
#15,070,496
of 23,192,960 outputs
Outputs from BMC Genomics
#6,173
of 10,721 outputs
Outputs of similar age
#206,158
of 350,961 outputs
Outputs of similar age from BMC Genomics
#133
of 252 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,721 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 350,961 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 252 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.