| Title |
Using image mapping towards biomedical and biological data sharing
|
|---|---|
| Published in |
Giga Science, September 2013
|
| DOI | 10.1186/2047-217x-2-12 |
| Pubmed ID | |
| Authors |
Nurzi Juana Mohd Zaizi, Dayang Nurfatimah Awang Iskandar |
| Abstract |
: Image-based data integration in eHealth and life sciences is typically concerned with the method used for anatomical space mapping, needed to retrieve, compare and analyse large volumes of biomedical data. In mapping one image onto another image, a mechanism is used to match and find the corresponding spatial regions which have the same meaning between the source and the matching image. Image-based data integration is useful for integrating data of various information structures. Here we discuss a broad range of issues related to data integration of various information structures, review exemplary work on image representation and mapping, and discuss the challenges that these techniques may bring. |
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 % |
|---|---|---|
| China | 1 | 50% |
| Hong Kong | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 2 | 11% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Other | 4 | 21% |
| Student > Ph. D. Student | 4 | 21% |
| Lecturer | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 26% |
| Agricultural and Biological Sciences | 4 | 21% |
| Linguistics | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 4 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 September 2013.
All research outputs
#14,913,921
of 25,371,288 outputs
Outputs from Giga Science
#1,077
of 1,167 outputs
Outputs of similar age
#113,845
of 214,758 outputs
Outputs of similar age from Giga Science
#4
of 4 outputs
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