| Title |
Natriuretic Peptide Receptor-C Protects Against Angiotensin II-Mediated Sinoatrial Node Disease in Mice
|
|---|---|
| Published in |
JACC: Basic to Translational Science, December 2018
|
| DOI | 10.1016/j.jacbts.2018.08.004 |
| Pubmed ID | |
| Authors |
Martin Mackasey, Emmanuel E. Egom, Hailey J. Jansen, Rui Hua, Motahareh Moghtadaei, Yingjie Liu, Jaspreet Kaur, Megan D. McRae, Oleg Bogachev, Sara A. Rafferty, Gibanananda Ray, Adam W. Kirkby, Robert A. Rose |
X Demographics
The data shown below were collected from the profiles of 34 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 | 6 | 18% |
| Colombia | 2 | 6% |
| Russia | 2 | 6% |
| Netherlands | 1 | 3% |
| Denmark | 1 | 3% |
| Spain | 1 | 3% |
| Mexico | 1 | 3% |
| Nigeria | 1 | 3% |
| China | 1 | 3% |
| Other | 6 | 18% |
| Unknown | 12 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 59% |
| Practitioners (doctors, other healthcare professionals) | 6 | 18% |
| Scientists | 6 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 25% |
| Other | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Researcher | 1 | 5% |
| Student > Postgraduate | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 30% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Unknown | 10 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 03 April 2020.
All research outputs
#1,977,502
of 25,959,914 outputs
Outputs from JACC: Basic to Translational Science
#171
of 820 outputs
Outputs of similar age
#43,615
of 451,918 outputs
Outputs of similar age from JACC: Basic to Translational Science
#5
of 23 outputs
Altmetric has tracked 25,959,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 820 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has done well, scoring higher than 79% 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 451,918 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 90% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.