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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Decision-making algorithm for ascending aortic aneurysm: Effectiveness in clinical application?
|
|---|---|
| Published in |
Journal of Thoracic and Cardiovascular Surgery, November 2018
|
| DOI | 10.1016/j.jtcvs.2018.09.124 |
| Pubmed ID | |
| Authors |
Ayman Saeyeldin, Mohammad A Zafar, Yupeng Li, Maryam Tanweer, Mohamed Abdelbaky, Anton Gryaznov, Adam J Brownstein, Camilo A Velasquez, Joelle Buntin, Kabir Thombre, Wei-Guo Ma, Young Erben, John A Rizzo, Bulat A Ziganshin, John A Elefteriades |
X Demographics
The data shown below were collected from the profiles of 21 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 | 8 | 38% |
| Canada | 3 | 14% |
| Ireland | 1 | 5% |
| Switzerland | 1 | 5% |
| France | 1 | 5% |
| Unknown | 7 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 62% |
| Practitioners (doctors, other healthcare professionals) | 4 | 19% |
| Scientists | 3 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 14% |
| Student > Bachelor | 5 | 10% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Postgraduate | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 22 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 34% |
| Engineering | 4 | 8% |
| Business, Management and Accounting | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 23 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 11 June 2019.
All research outputs
#2,502,382
of 25,539,438 outputs
Outputs from Journal of Thoracic and Cardiovascular Surgery
#359
of 7,025 outputs
Outputs of similar age
#49,815
of 355,173 outputs
Outputs of similar age from Journal of Thoracic and Cardiovascular Surgery
#7
of 182 outputs
Altmetric has tracked 25,539,438 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,025 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 355,173 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 85% of its contemporaries.
We're also able to compare this research output to 182 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 96% of its contemporaries.