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Mendeley readers
Attention Score in Context
| Title |
NanoCAGE-XL and CapFilter: an approach to genome wide identification of high confidence transcription start sites
|
|---|---|
| Published in |
BMC Genomics, August 2015
|
| DOI | 10.1186/s12864-015-1670-6 |
| Pubmed ID | |
| Authors |
Jason S. Cumbie, Maria G. Ivanchenko, Molly Megraw |
| Abstract |
Identifying the transcription start sites (TSS) of genes is essential for characterizing promoter regions. Several protocols have been developed to capture the 5' end of transcripts via Cap Analysis of Gene Expression (CAGE) or linker-ligation strategies such as Paired-End Analysis of Transcription Start Sites (PEAT), but often require large amounts of tissue. More recently, nanoCAGE was developed for sequencing on the Illumina GAIIx to overcome these difficulties. Here we present the first publicly available adaptation of nanoCAGE for sequencing on recent ultra-high throughput platforms such as Illumina HiSeq-2000, and CapFilter, a computational pipeline that greatly increases confidence in TSS identification. We report excellent gene coverage, reproducibility, and precision in transcription start site discovery for samples from Arabidopsis thaliana roots. nanoCAGE-XL together with CapFilter allows for genome wide identification of high confidence transcription start sites in large eukaryotic genomes. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 5% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Researcher | 9 | 23% |
| Student > Doctoral Student | 8 | 21% |
| Student > Master | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 33% |
| Biochemistry, Genetics and Molecular Biology | 12 | 31% |
| Medicine and Dentistry | 5 | 13% |
| Environmental Science | 1 | 3% |
| Chemistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 05 April 2017.
All research outputs
#2,809,515
of 22,821,814 outputs
Outputs from BMC Genomics
#1,017
of 10,654 outputs
Outputs of similar age
#37,861
of 264,395 outputs
Outputs of similar age from BMC Genomics
#23
of 254 outputs
Altmetric has tracked 22,821,814 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 10,654 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 90% 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 264,395 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 254 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 90% of its contemporaries.