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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ab Initio Prediction of Transcription Factor Targets Using Structural Knowledge
|
|---|---|
| Published in |
PLoS Computational Biology, June 2005
|
| DOI | 10.1371/journal.pcbi.0010001 |
| Pubmed ID | |
| Authors |
Tommy Kaplan, Nir Friedman, Hanah Margalit |
| Abstract |
Current approaches for identification and detection of transcription factor binding sites rely on an extensive set of known target genes. Here we describe a novel structure-based approach applicable to transcription factors with no prior binding data. Our approach combines sequence data and structural information to infer context-specific amino acid-nucleotide recognition preferences. These are used to predict binding sites for novel transcription factors from the same structural family. We demonstrate our approach on the Cys(2)His(2) Zinc Finger protein family, and show that the learned DNA-recognition preferences are compatible with experimental results. We use these preferences to perform a genome-wide scan for direct targets of Drosophila melanogaster Cys(2)His(2) transcription factors. By analyzing the predicted targets along with gene annotation and expression data we infer the function and activity of these proteins. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Spain | 2 | 2% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| Canada | 1 | <1% |
| Chile | 1 | <1% |
| Denmark | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 113 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 36% |
| Researcher | 37 | 29% |
| Professor > Associate Professor | 9 | 7% |
| Student > Master | 9 | 7% |
| Professor | 4 | 3% |
| Other | 18 | 14% |
| Unknown | 5 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 59% |
| Biochemistry, Genetics and Molecular Biology | 23 | 18% |
| Computer Science | 15 | 12% |
| Chemistry | 4 | 3% |
| Physics and Astronomy | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 7 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 30 December 2020.
All research outputs
#3,133,947
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#2,794
of 8,964 outputs
Outputs of similar age
#6,095
of 67,502 outputs
Outputs of similar age from PLoS Computational Biology
#3
of 10 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 68% 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 67,502 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.