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Mendeley readers
Attention Score in Context
| Title |
Left ventricular remodeling and hypertrophy in patients with aortic stenosis: insights from cardiovascular magnetic resonance
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, July 2012
|
| DOI | 10.1186/1532-429x-14-50 |
| Pubmed ID | |
| Authors |
Marc R Dweck, Sanjiv Joshi, Timothy Murigu, Ankur Gulati, Francisco Alpendurada, Andrew Jabbour, Alicia Maceira, Isabelle Roussin, David B Northridge, Philip J Kilner, Stuart A Cook, Nicholas A Boon, John Pepper, Raad H Mohiaddin, David E Newby, Dudley J Pennell, Sanjay K Prasad |
| Abstract |
Cardiovascular magnetic resonance (CMR) is the gold standard non-invasive method for determining left ventricular (LV) mass and volume but has not been used previously to characterise the LV remodeling response in aortic stenosis. We sought to investigate the degree and patterns of hypertrophy in aortic stenosis using CMR. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| France | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 163 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 17% |
| Researcher | 26 | 15% |
| Student > Bachelor | 19 | 11% |
| Student > Master | 17 | 10% |
| Student > Doctoral Student | 16 | 10% |
| Other | 33 | 20% |
| Unknown | 28 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 94 | 56% |
| Engineering | 11 | 7% |
| Agricultural and Biological Sciences | 6 | 4% |
| Biochemistry, Genetics and Molecular Biology | 4 | 2% |
| Computer Science | 2 | 1% |
| Other | 8 | 5% |
| Unknown | 43 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 27 February 2023.
All research outputs
#3,284,395
of 25,728,855 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#176
of 1,386 outputs
Outputs of similar age
#21,404
of 179,457 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#2
of 23 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,386 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 87% 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 179,457 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 88% 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 particularly well, scoring higher than 91% of its contemporaries.