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Modeling Transcriptional Regulation

Overview of attention for book
Modeling Transcriptional Regulation
Springer US
Attention for Chapter: Dynamic Regulatory Event Mining by iDREM in Large-Scale Multi-omics Datasets During Biotic and Abiotic Stress in Plants
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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11 Mendeley
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Chapter title
Dynamic Regulatory Event Mining by iDREM in Large-Scale Multi-omics Datasets During Biotic and Abiotic Stress in Plants
Book title
Methods in Molecular Biology
Published in
Methods in molecular biology, July 2021
DOI 10.1007/978-1-0716-1534-8_12
Pubmed ID
Book ISBNs
978-1-07-161533-1, 978-1-07-161534-8
Authors

Mishra, Bharat, Kumar, Nilesh, Liu, Jinbao, Pajerowska-Mukhtar, Karolina M., Bharat Mishra, Nilesh Kumar, Jinbao Liu, Karolina M. Pajerowska-Mukhtar

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Ph. D. Student 2 18%
Unspecified 1 9%
Professor > Associate Professor 1 9%
Professor 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Unspecified 2 18%
Biochemistry, Genetics and Molecular Biology 1 9%
Agricultural and Biological Sciences 1 9%
Earth and Planetary Sciences 1 9%
Neuroscience 1 9%
Other 0 0%
Unknown 5 45%
Attention Score in Context

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 12 July 2021.
All research outputs
#18,807,229
of 23,308,124 outputs
Outputs from Methods in molecular biology
#8,092
of 13,325 outputs
Outputs of similar age
#314,351
of 436,029 outputs
Outputs of similar age from Methods in molecular biology
#196
of 331 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,325 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 436,029 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 331 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.