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X Demographics
Mendeley readers
| Title |
Time to correct the flow of corrected flow time
|
|---|---|
| Published in |
The Ultrasound Journal, October 2017
|
| DOI | 10.1186/s13089-017-0076-x |
| Pubmed ID | |
| Authors |
Igor Barjaktarevic, Alan Chiem, Maxime Cannesson |
| Abstract |
Recently published study of Ma et al. evaluates two relatively novel measures of fluid responsiveness, carotid blood flow and corrected carotid flow time (ccFT). Both measures have been recently quoted as possibly useful, technically simple, and noninvasive dynamic tools in predicting fluid responsiveness. Recently, more research interest has been focused on ccFT and, intrigued by the data presented in this study, we discuss here the impact of the data presented in the paper of Ma et al. to the significance of this metric as a potential tool in the assessment of fluid responsiveness. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 3 | 23% |
| Canada | 2 | 15% |
| Yemen | 1 | 8% |
| Saudi Arabia | 1 | 8% |
| Mexico | 1 | 8% |
| Malaysia | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Practitioners (doctors, other healthcare professionals) | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 13% |
| Researcher | 3 | 13% |
| Professor > Associate Professor | 3 | 13% |
| Student > Doctoral Student | 2 | 9% |
| Lecturer | 2 | 9% |
| Other | 5 | 22% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 61% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Computer Science | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Unknown | 6 | 26% |