| Title |
CFTR Therapeutics Normalize Cerebral Perfusion Deficits in Mouse Models of Heart Failure and Subarachnoid Hemorrhage
|
|---|---|
| Published in |
JACC: Basic to Translational Science, November 2019
|
| DOI | 10.1016/j.jacbts.2019.07.004 |
| Pubmed ID | |
| Authors |
Darcy Lidington, Jessica C. Fares, Franziska E. Uhl, Danny D. Dinh, Jeffrey T. Kroetsch, Meghan Sauvé, Firhan A. Malik, Frank Matthes, Lotte Vanherle, Arman Adel, Abdul Momen, Hangjun Zhang, Roozbeh Aschar-Sobbi, Warren D. Foltz, Hoyee Wan, Manabu Sumiyoshi, R. Loch Macdonald, Mansoor Husain, Peter H. Backx, Scott P. Heximer, Anja Meissner, Steffen-Sebastian Bolz |
X Demographics
The data shown below were collected from the profiles of 10 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 | 4 | 40% |
| Germany | 1 | 10% |
| Spain | 1 | 10% |
| Canada | 1 | 10% |
| Sweden | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 3 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 15% |
| Student > Master | 5 | 15% |
| Student > Bachelor | 3 | 9% |
| Professor > Associate Professor | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 10 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 21% |
| Medicine and Dentistry | 7 | 21% |
| Agricultural and Biological Sciences | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Business, Management and Accounting | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 11 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 15 January 2020.
All research outputs
#5,347,617
of 25,604,262 outputs
Outputs from JACC: Basic to Translational Science
#384
of 815 outputs
Outputs of similar age
#118,148
of 479,087 outputs
Outputs of similar age from JACC: Basic to Translational Science
#12
of 27 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 815 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 gotten more attention than average, scoring higher than 52% 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 479,087 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 75% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.