| Title |
Flow cytometry-based functional selection of RNA interference triggers for efficient epi-allelic analysis of therapeutic targets
|
|---|---|
| Published in |
BMC Biotechnology, June 2014
|
| DOI | 10.1186/1472-6750-14-57 |
| Pubmed ID | |
| Authors |
David R Micklem, Magnus Blø, Petra Bergström, Erlend Hodneland, Crina Tiron, Torill Høiby, Christine Gjerdrum, Ola Hammarsten, James B Lorens |
| Abstract |
The dose-response relationship is a fundamental pharmacological parameter necessary to determine therapeutic thresholds. Epi-allelic hypomorphic analysis using RNA interference (RNAi) can similarly correlate target gene dosage with cellular phenotypes. This however requires a set of RNAi triggers empirically determined to attenuate target gene expression to different levels. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 12 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Student > Ph. D. Student | 3 | 21% |
| Librarian | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 36% |
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Immunology and Microbiology | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Unknown | 3 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 08 September 2014.
All research outputs
#4,165,193
of 22,757,541 outputs
Outputs from BMC Biotechnology
#213
of 935 outputs
Outputs of similar age
#41,481
of 228,424 outputs
Outputs of similar age from BMC Biotechnology
#5
of 29 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 73% 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 228,424 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 80% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.