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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Expert consensus on the evaluation and diagnosis of combat injuries of the Chinese People’s Liberation Army
|
|---|---|
| Published in |
Military Medical Research, February 2018
|
| DOI | 10.1186/s40779-018-0152-y |
| Pubmed ID | |
| Authors |
Zhao-wen Zong, Lian-yang Zhang, Hao Qin, Si-xu Chen, Lin Zhang, Lei Yang, Xiao-xue Li, Quan-wei Bao, Dao-cheng Liu, Si-hao He, Yue Shen, Rong Zhang, Yu-feng Zhao, Xiao-zheng Zhong, representing the PLA Professional Committee and Youth Committee on Disaster Medicine |
| Abstract |
The accurate assessment and diagnosis of combat injuries are the basis for triage and treatment of combat casualties. A consensus on the assessment and diagnosis of combat injuries was made and discussed at the second annual meeting of the Professional Committee on Disaster Medicine of the Chinese People's Liberation Army (PLA). In this consensus agreement, the massive hemorrhage, airway, respiration, circulation and hypothermia (MARCH) algorithm, which is a simple triage and rapid treatment and field triage score, was recommended to assess combat casualties during the first-aid stage, whereas the abbreviated scoring method for combat casualty and the MARCH algorithm were recommended to assess combat casualties in level II facilities. In level III facilities, combined measures, including a history inquiry, thorough physical examination, laboratory examination, X-ray, and ultrasound examination, were recommended for the diagnosis of combat casualties. In addition, corresponding methods were recommended for the recognition of casualties needing massive transfusions, assessment of firearm wounds, evaluation of mangled extremities, and assessment of injury severity in this consensus. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 18% |
| Student > Bachelor | 3 | 9% |
| Researcher | 3 | 9% |
| Student > Ph. D. Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 15 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 15% |
| Medicine and Dentistry | 3 | 9% |
| Neuroscience | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 18 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 May 2020.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Military Medical Research
#276
of 443 outputs
Outputs of similar age
#288,667
of 455,271 outputs
Outputs of similar age from Military Medical Research
#7
of 9 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 443 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 26th percentile – i.e., 26% 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 455,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.