| Title |
A New Index for Pre-Operative Cardiovascular Evaluation
|
|---|---|
| Published in |
JACC, June 2019
|
| DOI | 10.1016/j.jacc.2019.04.023 |
| Pubmed ID | |
| Authors |
Habib A. Dakik, Omar Chehab, Mahmoud Eldirani, Eman Sbeity, Cynthia Karam, Ossama Abou Hassan, Mayyas Msheik, Hussein Hassan, Ahmad Msheik, Chris Kaspar, Maha Makki, Hani Tamim |
X Demographics
The data shown below were collected from the profiles of 77 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 16 | 21% |
| United States | 15 | 19% |
| Poland | 3 | 4% |
| Bolivia, Plurinational State of | 2 | 3% |
| Mexico | 2 | 3% |
| Lebanon | 2 | 3% |
| Argentina | 1 | 1% |
| France | 1 | 1% |
| Spain | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 32 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 48 | 62% |
| Practitioners (doctors, other healthcare professionals) | 12 | 16% |
| Scientists | 12 | 16% |
| Science communicators (journalists, bloggers, editors) | 5 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 11% |
| Other | 9 | 10% |
| Student > Doctoral Student | 9 | 10% |
| Professor > Associate Professor | 7 | 8% |
| Student > Master | 7 | 8% |
| Other | 21 | 23% |
| Unknown | 28 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 53% |
| Unspecified | 3 | 3% |
| Nursing and Health Professions | 2 | 2% |
| Mathematics | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 5 | 5% |
| Unknown | 31 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 02 May 2021.
All research outputs
#870,904
of 25,385,509 outputs
Outputs from JACC
#2,188
of 16,743 outputs
Outputs of similar age
#19,105
of 363,722 outputs
Outputs of similar age from JACC
#76
of 216 outputs
Altmetric has tracked 25,385,509 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 16,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done well, scoring higher than 86% 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 363,722 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 94% of its contemporaries.
We're also able to compare this research output to 216 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 64% of its contemporaries.