| Title |
Predicting and Surviving Prolonged Critical Illness After Congenital Heart Surgery.
|
|---|---|
| Published in |
Critical Care Medicine, July 2020
|
| DOI | 10.1097/ccm.0000000000004354 |
| Pubmed ID | |
| Authors |
Aaron G DeWitt, Joseph W Rossano, David K Bailly, Priya N Bhat, Nikhil K Chanani, Brandon W Kirkland, Michael-Alice Moga, Gabe E Owens, Lauren B Retzloff, Wenying Zhang, Mousumi Banerjee, Andrew T Costarino, Geoffrey L Bird, Michael Gaies |
X Demographics
The data shown below were collected from the profiles of 20 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 | 9 | 45% |
| Mexico | 1 | 5% |
| Malaysia | 1 | 5% |
| India | 1 | 5% |
| Saudi Arabia | 1 | 5% |
| Unknown | 7 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 70% |
| Practitioners (doctors, other healthcare professionals) | 4 | 20% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Other | 4 | 10% |
| Student > Bachelor | 4 | 10% |
| Professor | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 33% |
| Engineering | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Immunology and Microbiology | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 13 | 33% |
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 12 July 2020.
All research outputs
#2,826,116
of 25,918,104 outputs
Outputs from Critical Care Medicine
#1,957
of 9,413 outputs
Outputs of similar age
#75,217
of 435,572 outputs
Outputs of similar age from Critical Care Medicine
#54
of 122 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,413 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 79% 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 435,572 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 82% of its contemporaries.
We're also able to compare this research output to 122 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.