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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An information transmission model for transcription factor binding at regulatory DNA sites
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, June 2012
|
| DOI | 10.1186/1742-4682-9-19 |
| Pubmed ID | |
| Authors |
Mingfeng Tan, Dong Yu, Yuan Jin, Lei Dou, Beiping LI, Yuelan Wang, Junjie Yue, Long Liang |
| Abstract |
Computational identification of transcription factor binding sites (TFBSs) is a rapid, cost-efficient way to locate unknown regulatory elements. With increased potential for high-throughput genome sequencing, the availability of accurate computational methods for TFBS prediction has never been as important as it currently is. To date, identifying TFBSs with high sensitivity and specificity is still an open challenge, necessitating the development of novel models for predicting transcription factor-binding regulatory DNA elements. |
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 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 | 5 | 45% |
| Student > Doctoral Student | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 27% |
| Agricultural and Biological Sciences | 3 | 27% |
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Immunology and Microbiology | 1 | 9% |
| Physics and Astronomy | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 1 | 9% |
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 07 June 2012.
All research outputs
#20,159,700
of 22,668,244 outputs
Outputs from Theoretical Biology and Medical Modelling
#245
of 287 outputs
Outputs of similar age
#150,874
of 166,900 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#6
of 8 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 1st percentile – i.e., 1% 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 166,900 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.