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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Biobank for Long-term and Sustainable Research in the Field of Congenital Heart Disease in Germany
|
|---|---|
| Published in |
Genomics, Protenomics & Biooinformatics, April 2016
|
| DOI | 10.1016/j.gpb.2016.03.003 |
| Pubmed ID | |
| Authors |
Thomas Pickardt, Eva Niggemeyer, Ulrike M.M. Bauer, Hashim Abdul-Khaliq, Competence Network for Congenital Heart Defects Investigators |
| Abstract |
Congenital heart disease (CHD) is the most frequent birth defect (0.8%-1% of all live births). Due to the advance in prenatal and postnatal early diagnosis and treatment, more than 90% of these patients survive into adulthood today. However, several mid- and long-term morbidities are dominating the follow-up of these patients. Due to the rarity and heterogeneity of the phenotypes of CHD, multicentre registry-based studies are required. The CHD-Biobank was established in 2009 with the aim to collect DNA from patients and their parents (trios) or from affected families, as well as cardiovascular tissues from patients undergoing corrective heart surgery for cardiovascular malformations. Clinical/phenotype data are matched to the International Paediatric and Congenital Cardiac Code (IPCCC) and the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10). The DNA collection currently comprises samples from approximately 4200 participants with a wide range of CHD phenotypes. The collection covers about 430 trios and 120 families with more than one affected member. The cardiac tissue collection comprises 1143 tissue samples from 556 patients after open heart surgery. The CHD-Biobank provides a comprehensive basis for research in the field of CHD with high standards of data privacy, IT management, and sample logistics. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sao Tome and Principe | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 2% |
| Unknown | 43 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 16% |
| Student > Bachelor | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Researcher | 4 | 9% |
| Other | 4 | 9% |
| Other | 8 | 18% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 20% |
| Nursing and Health Professions | 8 | 18% |
| Engineering | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 18 November 2016.
All research outputs
#5,166,477
of 25,374,917 outputs
Outputs from Genomics, Protenomics & Biooinformatics
#129
of 600 outputs
Outputs of similar age
#75,512
of 312,584 outputs
Outputs of similar age from Genomics, Protenomics & Biooinformatics
#3
of 15 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 600 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 78% of its peers.
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 312,584 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.