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Attention Score in Context
Chapter title |
Predicting Transcription Factor Binding Sites and Their Cognate Transcription Factors Using Gene Expression Data
|
---|---|
Chapter number | 17 |
Book title |
Plant Gene Regulatory Networks
|
Published in |
Methods in molecular biology, June 2017
|
DOI | 10.1007/978-1-4939-7125-1_17 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7124-4, 978-1-4939-7125-1
|
Authors |
Yu, Chun-Ping, Li, Wen-Hsiung, Chun-Ping Yu, Wen-Hsiung Li |
Editors |
Kerstin Kaufmann, Bernd Mueller-Roeber |
Abstract |
A transcription factor (TF) is a DNA binding protein that targets specific binding-sites (TFBSs) to regulate the transcript levels of its downstream genes. Thus, identifying the TF-TFBS pairs is a pivotal step in understanding the function of TFs and the regulatory network in an organism. Here, we describe two methods for predicting the TFBS of a given TF and for predicting the cognate TF of a given TFBS from a set of strongly co-expressed genes, using time-course transcriptome data of maize developing leaves. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 2 | 20% |
Student > Master | 2 | 20% |
Student > Bachelor | 1 | 10% |
Student > Ph. D. Student | 1 | 10% |
Unknown | 4 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 30% |
Agricultural and Biological Sciences | 2 | 20% |
Psychology | 1 | 10% |
Unknown | 4 | 40% |
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 18 June 2017.
All research outputs
#12,848,774
of 22,981,247 outputs
Outputs from Methods in molecular biology
#3,228
of 13,149 outputs
Outputs of similar age
#147,109
of 316,926 outputs
Outputs of similar age from Methods in molecular biology
#42
of 280 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,149 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% 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 316,926 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 280 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.