German Medical Data Sciences 2021: Digital Medicine: Recognize – Understand – Heal
IOS Press
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
Attention over time
Attention Score history
Activity
X Demographics
Mendeley demographics
Login to view Mendeley reader trends over time.
| Chapter title |
ADT2FHIR – A Tool for Converting ADT/GEKID Oncology Data to HL7 FHIR Resources
|
|---|---|
| Book title |
German Medical Data Sciences 2021: Digital Medicine: Recognize – Understand – Heal
|
| Published by |
IOS Press, September 2021
|
| DOI | 10.3233/shti210547 |
| Pubmed ID | |
| Book ISBNs |
978-1-64368-206-8, 978-1-64368-207-5
|
| Authors |
Noemi Deppenwiese, Pierre Delpy, Mohamed Lambarki, Martin Lablans, Deppenwiese, Noemi, Delpy, Pierre, Lambarki, Mohamed, Lablans, Martin |
Login to access the Attention Digest and the Sentiment Analysis related to this output.
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley demographics
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 % |
|---|---|---|
| Unspecified | 6 | 26% |
| Student > Bachelor | 2 | 9% |
| Student > Master | 2 | 9% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 6 | 26% |
| Computer Science | 3 | 13% |
| Economics, Econometrics and Finance | 2 | 9% |
| Nursing and Health Professions | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 43% |