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Mendeley readers
Attention Score in Context
| Title |
Genome-wide linkage analysis of congenital heart defects using MOD score analysis identifies two novel loci
|
|---|---|
| Published in |
BMC Genomic Data, May 2013
|
| DOI | 10.1186/1471-2156-14-44 |
| Pubmed ID | |
| Authors |
Antònia Flaquer, Clemens Baumbach, Estefania Piñero, Fernando García Algas, María Angeles de la Fuente Sanchez, Jordi Rosell, Jorge Toquero, Luis Alonso-Pulpon, Pablo Garcia-Pavia, Konstantin Strauch, Damian Heine-Suñer |
| Abstract |
Congenital heart defects (CHD) is the most common cause of death from a congenital structure abnormality in newborns and is often associated with fetal loss. There are many types of CHD. Human genetic studies have identified genes that are responsible for the inheritance of a particular type of CHD and for some types of CHD previously thought to be sporadic. However, occasionally different members of the same family might have anatomically distinct defects - for instance, one member with atrial septal defect, one with tetralogy of Fallot, and one with ventricular septal defect. Our objective is to identify susceptibility loci for CHD in families affected by distinct defects. The occurrence of these apparently discordant clinical phenotypes within one family might hint at a genetic framework common to most types of CHD. |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Hong Kong | 1 | 2% |
| Spain | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 40 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 27% |
| Student > Master | 8 | 18% |
| Student > Bachelor | 6 | 13% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Doctoral Student | 4 | 9% |
| Other | 6 | 13% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 40% |
| Agricultural and Biological Sciences | 16 | 36% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Computer Science | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 5 | 11% |
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 12 July 2013.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from BMC Genomic Data
#1,008
of 1,204 outputs
Outputs of similar age
#182,755
of 207,921 outputs
Outputs of similar age from BMC Genomic Data
#24
of 27 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 207,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.