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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Innate Immune Suppression Enables Frequent Transfection with RNA Encoding Reprogramming Proteins
|
|---|---|
| Published in |
PLOS ONE, July 2010
|
| DOI | 10.1371/journal.pone.0011756 |
| Pubmed ID | |
| Authors |
Matthew Angel, Mehmet Fatih Yanik |
| Abstract |
Generating autologous pluripotent stem cells for therapeutic applications will require the development of efficient DNA-free reprogramming techniques. Transfecting cells with in vitro-transcribed, protein-encoding RNA is a straightforward method of directly expressing high levels of reprogramming proteins without genetic modification. However, long-RNA transfection triggers a potent innate immune response characterized by growth inhibition and the production of inflammatory cytokines. As a result, repeated transfection with protein-encoding RNA causes cell death. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Germany | 2 | 1% |
| France | 1 | <1% |
| South Africa | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 138 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 28% |
| Student > Ph. D. Student | 35 | 23% |
| Student > Master | 14 | 9% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 24 | 16% |
| Unknown | 18 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 40% |
| Biochemistry, Genetics and Molecular Biology | 35 | 23% |
| Medicine and Dentistry | 16 | 11% |
| Neuroscience | 5 | 3% |
| Engineering | 4 | 3% |
| Other | 10 | 7% |
| Unknown | 20 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 29 August 2023.
All research outputs
#1,347,128
of 24,891,087 outputs
Outputs from PLOS ONE
#17,106
of 215,675 outputs
Outputs of similar age
#4,131
of 100,391 outputs
Outputs of similar age from PLOS ONE
#75
of 763 outputs
Altmetric has tracked 24,891,087 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 215,675 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 92% 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 100,391 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 763 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.