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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep-transcriptome and ribonome sequencing redefines the molecular networks of pluripotency and the extracellular space in human embryonic stem cells
|
|---|---|
| Published in |
Genome Research, October 2011
|
| DOI | 10.1101/gr.119321.110 |
| Pubmed ID | |
| Authors |
Gabriel Kolle, Jill L. Shepherd, Brooke Gardiner, Karin S. Kassahn, Nicole Cloonan, David L.A. Wood, Ehsan Nourbakhsh, Darrin F. Taylor, Shivangi Wani, Hun S. Chy, Qi Zhou, Kevin McKernan, Scott Kuersten, Andrew L. Laslett, Sean M. Grimmond |
| Abstract |
Recent RNA-sequencing studies have shown remarkable complexity in the mammalian transcriptome. The ultimate impact of this complexity on the predicted proteomic output is less well defined. We have undertaken strand-specific RNA sequencing of multiple cellular RNA fractions (>20 Gb) to uncover the transcriptional complexity of human embryonic stem cells (hESCs). We have shown that human embryonic stem (ES) cells display a high degree of transcriptional diversity, with more than half of active genes generating RNAs that differ from conventional gene models. We found evidence that more than 1000 genes express long 5' and/or extended 3'UTRs, which was confirmed by "virtual Northern" analysis. Exhaustive sequencing of the membrane-polysome and cytosolic/untranslated fractions of hESCs was used to identify RNAs encoding peptides destined for secretion and the extracellular space and to demonstrate preferential selection of transcription complexity for translation in vitro. The impact of this newly defined complexity on known gene-centric network models such as the Plurinet and the cell surface signaling machinery in human ES cells revealed a significant expansion of known transcript isoforms at play, many predicting possible alternative functions based on sequence alterations within key functional domains. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 6% |
| Portugal | 2 | 2% |
| United Kingdom | 2 | 2% |
| Japan | 2 | 2% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Australia | 1 | <1% |
| France | 1 | <1% |
| Singapore | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 100 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 34% |
| Student > Ph. D. Student | 30 | 25% |
| Professor > Associate Professor | 17 | 14% |
| Student > Master | 9 | 8% |
| Professor | 7 | 6% |
| Other | 9 | 8% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 76 | 64% |
| Biochemistry, Genetics and Molecular Biology | 24 | 20% |
| Medicine and Dentistry | 3 | 3% |
| Environmental Science | 1 | <1% |
| Computer Science | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 8 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 December 2011.
All research outputs
#7,960,512
of 25,374,917 outputs
Outputs from Genome Research
#2,983
of 4,425 outputs
Outputs of similar age
#47,848
of 153,517 outputs
Outputs of similar age from Genome Research
#35
of 52 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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 is in the 31st percentile – i.e., 31% 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 153,517 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.