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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Side chain modified peptide nucleic acids (PNA) for knock-down of six3in medaka embryos
|
|---|---|
| Published in |
BMC Biotechnology, August 2012
|
| DOI | 10.1186/1472-6750-12-50 |
| Pubmed ID | |
| Authors |
Sebastian Dorn, Narges Aghaallaei, Gerlinde Jung, Baubak Bajoghli, Birgit Werner, Holger Bock, Thomas Lindhorst, Thomas Czerny |
| Abstract |
Synthetic antisense molecules have an enormous potential for therapeutic applications in humans. The major aim of such strategies is to specifically interfere with gene function, thus modulating cellular pathways according to the therapeutic demands. Among the molecules which can block mRNA function in a sequence specific manner are peptide nucleic acids (PNA). They are highly stable and efficiently and selectively interact with RNA. However, some properties of non-modified aminoethyl glycine PNAs (aegPNA) hamper their in vivo applications. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 1 | 33% |
| Australia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 3% |
| Austria | 1 | 3% |
| Unknown | 28 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Student > Master | 5 | 17% |
| Student > Bachelor | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Lecturer | 2 | 7% |
| Other | 6 | 20% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 43% |
| Biochemistry, Genetics and Molecular Biology | 6 | 20% |
| Immunology and Microbiology | 2 | 7% |
| Linguistics | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 October 2012.
All research outputs
#14,732,278
of 22,675,759 outputs
Outputs from BMC Biotechnology
#648
of 935 outputs
Outputs of similar age
#104,168
of 169,174 outputs
Outputs of similar age from BMC Biotechnology
#15
of 19 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
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 is in the 28th percentile – i.e., 28% 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 169,174 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.