| Title |
A compact, in vivo screen of all 6-mers reveals drivers of tissue-specific expression and guides synthetic regulatory element design
|
|---|---|
| Published in |
Genome Biology, July 2013
|
| DOI | 10.1186/gb-2013-14-7-r72 |
| Pubmed ID | |
| Authors |
Robin P Smith, Samantha J Riesenfeld, Alisha K Holloway, Qiang Li, Karl K Murphy, Natalie M Feliciano, Lorenzo Orecchia, Nir Oksenberg, Katherine S Pollard, Nadav Ahituv |
| Abstract |
Large-scale annotation efforts have improved our ability to coarsely predict regulatory elements throughout vertebrate genomes. However, it is unclear how complex spatiotemporal patterns of gene expression driven by these elements emerge from the activity of short, transcription factor binding sequences. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 8 | 50% |
| United Kingdom | 2 | 13% |
| Spain | 1 | 6% |
| Austria | 1 | 6% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 50% |
| Members of the public | 6 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 6% |
| United Kingdom | 2 | 2% |
| Sri Lanka | 1 | <1% |
| France | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 89 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 30% |
| Student > Ph. D. Student | 19 | 19% |
| Professor | 9 | 9% |
| Student > Master | 8 | 8% |
| Student > Bachelor | 4 | 4% |
| Other | 20 | 20% |
| Unknown | 11 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 48% |
| Biochemistry, Genetics and Molecular Biology | 20 | 20% |
| Medicine and Dentistry | 6 | 6% |
| Computer Science | 3 | 3% |
| Unspecified | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 15 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 17 March 2015.
All research outputs
#1,597,191
of 25,374,917 outputs
Outputs from Genome Biology
#1,306
of 4,467 outputs
Outputs of similar age
#13,468
of 207,998 outputs
Outputs of similar age from Genome Biology
#13
of 63 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 70% 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 207,998 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 93% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.