| Title |
Apparent diffusion coefficient histogram analysis of neonatal hypoxic–ischemic encephalopathy
|
|---|---|
| Published in |
Pediatric Radiology, March 2014
|
| DOI | 10.1007/s00247-013-2864-1 |
| Pubmed ID | |
| Authors |
Keith A. Cauley, Christopher G. Filippi |
| Abstract |
Diffusion-weighted imaging is a valuable tool in the assessment of the neonatal brain, and changes in diffusion are seen in normal development as well as in pathological states such as hypoxic-ischemic encephalopathy (HIE). Various methods of quantitative assessment of diffusion values have been reported. Global ischemic injury occurring during the time of rapid developmental changes in brain myelination can complicate the imaging diagnosis of neonatal HIE. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 29% |
| Other | 5 | 16% |
| Student > Master | 5 | 16% |
| Student > Ph. D. Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 52% |
| Neuroscience | 3 | 10% |
| Psychology | 2 | 6% |
| Computer Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 7 | 23% |
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 14 January 2015.
All research outputs
#20,249,662
of 22,778,347 outputs
Outputs from Pediatric Radiology
#1,749
of 2,076 outputs
Outputs of similar age
#191,462
of 223,450 outputs
Outputs of similar age from Pediatric Radiology
#21
of 22 outputs
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