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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Biophysical Model for Analysis of Transcription Factor Interaction and Binding Site Arrangement from Genome-Wide Binding Data
|
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Published in |
PLOS ONE, December 2009
|
DOI | 10.1371/journal.pone.0008155 |
Pubmed ID | |
Authors |
Xin He, Chieh-Chun Chen, Feng Hong, Fang Fang, Saurabh Sinha, Huck-Hui Ng, Sheng Zhong |
Abstract |
How transcription factors (TFs) interact with cis-regulatory sequences and interact with each other is a fundamental, but not well understood, aspect of gene regulation. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 5% |
France | 4 | 3% |
Singapore | 2 | 1% |
Germany | 1 | <1% |
Hong Kong | 1 | <1% |
Sweden | 1 | <1% |
Portugal | 1 | <1% |
Chile | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 2 | 1% |
Unknown | 119 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 48 | 34% |
Researcher | 46 | 33% |
Professor > Associate Professor | 11 | 8% |
Student > Master | 11 | 8% |
Professor | 10 | 7% |
Other | 8 | 6% |
Unknown | 6 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 89 | 64% |
Biochemistry, Genetics and Molecular Biology | 22 | 16% |
Computer Science | 11 | 8% |
Medicine and Dentistry | 5 | 4% |
Engineering | 2 | 1% |
Other | 5 | 4% |
Unknown | 6 | 4% |
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 10 February 2013.
All research outputs
#18,329,207
of 22,696,971 outputs
Outputs from PLOS ONE
#153,980
of 193,735 outputs
Outputs of similar age
#151,288
of 164,938 outputs
Outputs of similar age from PLOS ONE
#506
of 547 outputs
Altmetric has tracked 22,696,971 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 193,735 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% 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 164,938 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 547 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.