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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated conserved non-coding sequence (CNS) discovery reveals differences in gene content and promoter evolution among grasses
|
|---|---|
| Published in |
Frontiers in Plant Science, January 2013
|
| DOI | 10.3389/fpls.2013.00170 |
| Pubmed ID | |
| Authors |
Gina Turco, James C. Schnable, Brent Pedersen, Michael Freeling |
| Abstract |
Conserved non-coding sequences (CNS) are islands of non-coding sequence that, like protein coding exons, show less divergence in sequence between related species than functionless DNA. Several CNSs have been demonstrated experimentally to function as cis-regulatory regions. However, the specific functions of most CNSs remain unknown. Previous searches for CNS in plants have either anchored on exons and only identified nearby sequences or required years of painstaking manual annotation. Here we present an open source tool that can accurately identify CNSs between any two related species with sequenced genomes, including both those immediately adjacent to exons and distal sequences separated by >12 kb of non-coding sequence. We have used this tool to characterize new motifs, associate CNSs with additional functions, and identify previously undetected genes encoding RNA and protein in the genomes of five grass species. We provide a list of 15,363 orthologous CNSs conserved across all grasses tested. We were also able to identify regulatory sequences present in the common ancestor of grasses that have been lost in one or more extant grass lineages. Lists of orthologous gene pairs and associated CNSs are provided for reference inbred lines of arabidopsis, Japonica rice, foxtail millet, sorghum, brachypodium, and maize. |
X Demographics
The data shown below were collected from the profiles of 14 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 Kingdom | 3 | 21% |
| United States | 2 | 14% |
| Norway | 1 | 7% |
| Germany | 1 | 7% |
| Switzerland | 1 | 7% |
| Belgium | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 64% |
| Scientists | 5 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Germany | 1 | 1% |
| France | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 69 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 25% |
| Researcher | 19 | 25% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 6 | 8% |
| Professor > Associate Professor | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 49 | 65% |
| Biochemistry, Genetics and Molecular Biology | 12 | 16% |
| Medicine and Dentistry | 2 | 3% |
| Economics, Econometrics and Finance | 1 | 1% |
| Environmental Science | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 10 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 04 October 2017.
All research outputs
#1,472,930
of 24,585,148 outputs
Outputs from Frontiers in Plant Science
#475
of 23,312 outputs
Outputs of similar age
#13,230
of 290,571 outputs
Outputs of similar age from Frontiers in Plant Science
#7
of 517 outputs
Altmetric has tracked 24,585,148 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,312 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 290,571 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 95% of its contemporaries.
We're also able to compare this research output to 517 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.