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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Erroneous attribution of relevant transcription factor binding sites despite successful prediction of cis-regulatory modules
|
|---|---|
| Published in |
BMC Genomics, November 2011
|
| DOI | 10.1186/1471-2164-12-578 |
| Pubmed ID | |
| Authors |
Marc S Halfon, Qianqian Zhu, Elizabeth R Brennan, Yiyun Zhou |
| Abstract |
Cis-regulatory modules are bound by transcription factors to regulate gene expression. Characterizing these DNA sequences is central to understanding gene regulatory networks and gaining insight into mechanisms of transcriptional regulation, but genome-scale regulatory module discovery remains a challenge. One popular approach is to scan the genome for clusters of transcription factor binding sites, especially those conserved in related species. When such approaches are successful, it is typically assumed that the activity of the modules is mediated by the identified binding sites and their cognate transcription factors. However, the validity of this assumption is often not assessed. |
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 States | 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 4% |
| United States | 2 | 4% |
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 40 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 39% |
| Student > Ph. D. Student | 7 | 15% |
| Professor > Associate Professor | 6 | 13% |
| Professor | 4 | 9% |
| Student > Master | 3 | 7% |
| Other | 2 | 4% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 59% |
| Biochemistry, Genetics and Molecular Biology | 7 | 15% |
| Computer Science | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Neuroscience | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 9 | 20% |
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 09 September 2013.
All research outputs
#18,347,414
of 22,721,584 outputs
Outputs from BMC Genomics
#8,155
of 10,626 outputs
Outputs of similar age
#196,056
of 240,103 outputs
Outputs of similar age from BMC Genomics
#231
of 303 outputs
Altmetric has tracked 22,721,584 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 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 240,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 303 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.