| Title |
CS-Annotate: A Tool for Using NMR Chemical Shifts to Annotate RNA Structure
|
|---|---|
| Published in |
Journal of Chemical Information and Modeling, April 2021
|
| DOI | 10.1021/acs.jcim.1c00006 |
| Pubmed ID | |
| Authors |
Kexin Zhang, Kyrillos Abdallah, Pujan Ajmera, Kyle Finos, Andrew Looka, Joseph Mekhael, Aaron T. Frank |
X Demographics
The data shown below were collected from the profiles of 23 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 | 8 | 35% |
| India | 2 | 9% |
| France | 1 | 4% |
| Congo, The Democratic Republic of the | 1 | 4% |
| Sweden | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 9 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 48% |
| Scientists | 10 | 43% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 22% |
| Researcher | 2 | 22% |
| Professor | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Chemistry | 2 | 22% |
| Social Sciences | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Unknown | 3 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 July 2021.
All research outputs
#2,704,226
of 25,452,734 outputs
Outputs from Journal of Chemical Information and Modeling
#1
of 1 outputs
Outputs of similar age
#70,068
of 454,244 outputs
Outputs of similar age from Journal of Chemical Information and Modeling
#21
of 128 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 454,244 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 84% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.