| Title |
Proximity-Induced Nucleic Acid Degrader (PINAD) Approach to Targeted RNA Degradation Using Small Molecules
|
|---|---|
| Published in |
ACS Central Science, April 2023
|
| DOI | 10.1021/acscentsci.3c00015 |
| Pubmed ID | |
| Authors |
Sigitas Mikutis, Maria Rebelo, Eliza Yankova, Muxin Gu, Cong Tang, Ana R. Coelho, Mo Yang, Madoka E. Hazemi, Marta Pires de Miranda, Maria Eleftheriou, Max Robertson, George S. Vassiliou, David J. Adams, J. Pedro Simas, Francisco Corzana, John S. Schneekloth, Konstantinos Tzelepis, Gonçalo J. L. Bernardes |
Twitter Demographics
The data shown below were collected from the profiles of 54 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 15 | 28% |
| United States | 8 | 15% |
| Portugal | 5 | 9% |
| India | 3 | 6% |
| Ireland | 1 | 2% |
| Canada | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Unknown | 20 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 52% |
| Scientists | 25 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 26% |
| Unspecified | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Professor > Associate Professor | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 24% |
| Chemistry | 11 | 24% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 9% |
| Unspecified | 4 | 9% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 10 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 82. 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 June 2023.
All research outputs
#484,559
of 24,144,324 outputs
Outputs from ACS Central Science
#157
of 1,758 outputs
Outputs of similar age
#10,482
of 389,971 outputs
Outputs of similar age from ACS Central Science
#7
of 70 outputs
Altmetric has tracked 24,144,324 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,758 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.1. This one has done particularly well, scoring higher than 91% 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 389,971 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 97% of its contemporaries.
We're also able to compare this research output to 70 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 91% of its contemporaries.