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X Demographics
Mendeley readers
Attention Score in Context
Title |
Feasibility of real-time cine cardiac magnetic resonance imaging to predict the presence of significant retrosternal adhesions prior to redo-sternotomy
|
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Published in |
Critical Reviews in Diagnostic Imaging, October 2019
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DOI | 10.1186/s12968-019-0576-x |
Pubmed ID | |
Authors |
Riad Abou Zahr, Vasu Gooty, Animesh Tandon, Gerald Greil, Timothy Pirolli, Ryan Davies, Robert Jaquiss, Claudio Ramaciotti, Tarique Hussain |
X Demographics
The data shown below were collected from the profiles of 19 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 | 32% |
Spain | 3 | 16% |
United Kingdom | 2 | 11% |
Cuba | 1 | 5% |
Saudi Arabia | 1 | 5% |
Unknown | 6 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 10 | 53% |
Members of the public | 5 | 26% |
Scientists | 2 | 11% |
Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 13% |
Professor > Associate Professor | 2 | 9% |
Student > Bachelor | 1 | 4% |
Professor | 1 | 4% |
Lecturer | 1 | 4% |
Other | 4 | 17% |
Unknown | 11 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 35% |
Nursing and Health Professions | 1 | 4% |
Veterinary Science and Veterinary Medicine | 1 | 4% |
Computer Science | 1 | 4% |
Engineering | 1 | 4% |
Other | 0 | 0% |
Unknown | 11 | 48% |
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 22 November 2019.
All research outputs
#2,891,666
of 25,711,518 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#150
of 1,386 outputs
Outputs of similar age
#59,611
of 378,696 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#5
of 18 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done well and is in the 88th 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 7.1. This one has done well, scoring higher than 89% 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 378,696 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 18 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 72% of its contemporaries.