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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide detection and analysis of hippocampus core promoters using DeepCAGE
|
|---|---|
| Published in |
Genome Research, December 2008
|
| DOI | 10.1101/gr.084541.108 |
| Pubmed ID | |
| Authors |
Eivind Valen, Giovanni Pascarella, Alistair Chalk, Norihiro Maeda, Miki Kojima, Chika Kawazu, Mitsuyoshi Murata, Hiromi Nishiyori, Dejan Lazarevic, Dario Motti, Troels Torben Marstrand, Man-Hung Eric Tang, Xiaobei Zhao, Anders Krogh, Ole Winther, Takahiro Arakawa, Jun Kawai, Christine Wells, Carsten Daub, Matthias Harbers, Yoshihide Hayashizaki, Stefano Gustincich, Albin Sandelin, Piero Carninci |
| Abstract |
Finding and characterizing mRNAs, their transcription start sites (TSS), and their associated promoters is a major focus in post-genome biology. Mammalian cells have at least 5-10 magnitudes more TSS than previously believed, and deeper sequencing is necessary to detect all active promoters in a given tissue. Here, we present a new method for high-throughput sequencing of 5' cDNA tags-DeepCAGE: merging the Cap Analysis of Gene Expression method with ultra-high-throughput sequence technology. We apply DeepCAGE to characterize 1.4 million sequenced TSS from mouse hippocampus and reveal a wealth of novel core promoters that are preferentially used in hippocampus: This is the most comprehensive promoter data set for any tissue to date. Using these data, we present evidence indicating a key role for the Arnt2 transcription factor in hippocampus gene regulation. DeepCAGE can also detect promoters used only in a small subset of cells within the complex tissue. |
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 % |
|---|---|---|
| Australia | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 2% |
| United States | 3 | 2% |
| United Kingdom | 3 | 2% |
| Japan | 2 | 1% |
| Sweden | 1 | <1% |
| Norway | 1 | <1% |
| Russia | 1 | <1% |
| Hungary | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 177 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 63 | 32% |
| Student > Ph. D. Student | 40 | 21% |
| Student > Master | 18 | 9% |
| Student > Bachelor | 16 | 8% |
| Professor > Associate Professor | 13 | 7% |
| Other | 25 | 13% |
| Unknown | 19 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 102 | 53% |
| Biochemistry, Genetics and Molecular Biology | 34 | 18% |
| Medicine and Dentistry | 14 | 7% |
| Computer Science | 10 | 5% |
| Neuroscience | 7 | 4% |
| Other | 4 | 2% |
| Unknown | 23 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 October 2023.
All research outputs
#4,370,146
of 25,374,917 outputs
Outputs from Genome Research
#2,023
of 4,425 outputs
Outputs of similar age
#23,086
of 178,817 outputs
Outputs of similar age from Genome Research
#14
of 37 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has gotten more attention than average, scoring higher than 53% 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 178,817 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 86% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.