| Title |
Empagliflozin Improves Diastolic Function in a Nondiabetic Rodent Model of Heart Failure With Preserved Ejection Fraction
|
|---|---|
| Published in |
JACC: Basic to Translational Science, February 2019
|
| DOI | 10.1016/j.jacbts.2018.11.010 |
| Pubmed ID | |
| Authors |
Kim A. Connelly, Yanling Zhang, Aylin Visram, Andrew Advani, Sri N. Batchu, Jean-François Desjardins, Kerri Thai, Richard E. Gilbert |
X Demographics
The data shown below were collected from the profiles of 76 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 24 | 32% |
| Mexico | 5 | 7% |
| Ecuador | 3 | 4% |
| Colombia | 3 | 4% |
| Argentina | 3 | 4% |
| Venezuela, Bolivarian Republic of | 2 | 3% |
| Brazil | 2 | 3% |
| United Kingdom | 1 | 1% |
| Denmark | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 30 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 56 | 74% |
| Practitioners (doctors, other healthcare professionals) | 16 | 21% |
| Scientists | 2 | 3% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 13% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 10 | 11% |
| Student > Doctoral Student | 9 | 10% |
| Researcher | 9 | 10% |
| Other | 13 | 14% |
| Unknown | 30 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 41% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Agricultural and Biological Sciences | 4 | 4% |
| Nursing and Health Professions | 2 | 2% |
| Neuroscience | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 33 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 30 October 2019.
All research outputs
#982,829
of 25,459,177 outputs
Outputs from JACC: Basic to Translational Science
#80
of 805 outputs
Outputs of similar age
#23,084
of 367,669 outputs
Outputs of similar age from JACC: Basic to Translational Science
#3
of 16 outputs
Altmetric has tracked 25,459,177 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 805 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has done particularly well, scoring higher than 90% 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 367,669 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 93% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.