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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Consensus development of core competencies in intensive and critical care medicine training in China
|
|---|---|
| Published in |
Critical Care, October 2016
|
| DOI | 10.1186/s13054-016-1514-z |
| Pubmed ID | |
| Authors |
Xiaoyun Hu, Xiuming Xi, Penglin Ma, Haibo Qiu, Kaijiang Yu, Yaoqing Tang, Chuanyun Qian, Qiang Fang, Yushan Wang, Xiangyou Yu, Yuan Xu, Bin Du, for the China Critical Care Clinical Trials Group (CCCCTG) and the Task Force of Core Competencies in Intensive and Critical Care Medicine Training in China |
| Abstract |
The aim of this study is to develop consensus on core competencies required for postgraduate training in intensive care medicine. We used a combination of a modified Delphi method and a nominal group technique to create and modify the list of core competencies to ensure maximum consensus. Ideas were generated modified from Competency Based Training in Intensive Care Medicine in Europe collaboration (CoBaTrICE) core competencies. An online survey invited healthcare professionals, educators, and trainees to rate and comment on these competencies. The output from the online survey was edited and then reviewed by a nominal group of 13 intensive care professionals to identify each competence for importance. The resulting list was then recirculated in the nominal group for iterative rating. The online survey yielded a list of 199 competencies for nominal group reviewing. After five rounds of rating, 129 competencies entered the final set defined as core competencies. We have generated a set of core competencies using a consensus technique which can serve as an indicator for training program development. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 1 | 14% |
| Canada | 1 | 14% |
| Russia | 1 | 14% |
| United Kingdom | 1 | 14% |
| Malaysia | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 29% |
| Members of the public | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 14% |
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 6 | 14% |
| Lecturer | 3 | 7% |
| Student > Doctoral Student | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 31% |
| Nursing and Health Professions | 6 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Business, Management and Accounting | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 09 February 2020.
All research outputs
#7,263,731
of 25,373,627 outputs
Outputs from Critical Care
#4,019
of 6,554 outputs
Outputs of similar age
#102,306
of 323,231 outputs
Outputs of similar age from Critical Care
#85
of 115 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 323,231 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.