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Mendeley readers
Attention Score in Context
| Title |
Integrated miRNA, mRNA and protein expression analysis reveals the role of post-transcriptional regulation in controlling CHO cell growth rate
|
|---|---|
| Published in |
BMC Genomics, November 2012
|
| DOI | 10.1186/1471-2164-13-656 |
| Pubmed ID | |
| Authors |
Colin Clarke, Michael Henry, Padraig Doolan, Shane Kelly, Sinead Aherne, Noelia Sanchez, Paul Kelly, Paula Kinsella, Laura Breen, Stephen F Madden, Lin Zhang, Mark Leonard, Martin Clynes, Paula Meleady, Niall Barron |
| Abstract |
To study the role of microRNA (miRNA) in the regulation of Chinese hamster ovary (CHO) cell growth, qPCR, microarray and quantitative LC-MS/MS analysis were utilised for simultaneous expression profiling of miRNA, mRNA and protein. The sample set under investigation consisted of clones with variable cellular growth rates derived from the same population. In addition to providing a systems level perspective on cell growth, the integration of multiple profiling datasets can facilitate the identification of non-seed miRNA targets, complement computational prediction tools and reduce false positive and false negative rates. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Austria | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 136 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 29% |
| Researcher | 41 | 28% |
| Student > Master | 12 | 8% |
| Professor > Associate Professor | 7 | 5% |
| Student > Bachelor | 6 | 4% |
| Other | 24 | 17% |
| Unknown | 12 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 42% |
| Biochemistry, Genetics and Molecular Biology | 39 | 27% |
| Computer Science | 5 | 3% |
| Engineering | 4 | 3% |
| Chemical Engineering | 4 | 3% |
| Other | 14 | 10% |
| Unknown | 18 | 13% |
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 24 December 2014.
All research outputs
#7,356,343
of 25,374,647 outputs
Outputs from BMC Genomics
#3,109
of 11,244 outputs
Outputs of similar age
#70,831
of 285,367 outputs
Outputs of similar age from BMC Genomics
#54
of 196 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. 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 285,367 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 73% of its contemporaries.
We're also able to compare this research output to 196 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 70% of its contemporaries.