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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits
|
|---|---|
| Published in |
BioData Mining, October 2014
|
| DOI | 10.1186/1756-0381-7-21 |
| Pubmed ID | |
| Authors |
Laurence D Parnell, Britt A Blokker, Hassan S Dashti, Paula-Dene Nesbeth, Brittany Elle Cooper, Yiyi Ma, Yu-Chi Lee, Ruixue Hou, Chao-Qiang Lai, Kris Richardson, José M Ordovás |
| Abstract |
Genetic understanding of complex traits has developed immensely over the past decade but remains hampered by incomplete descriptions of contribution to phenotypic variance. Gene-environment (GxE) interactions are one of these contributors and in the guise of diet and physical activity are important modulators of cardiometabolic phenotypes and ensuing diseases. |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 41% |
| United Kingdom | 3 | 11% |
| Netherlands | 1 | 4% |
| France | 1 | 4% |
| Finland | 1 | 4% |
| Italy | 1 | 4% |
| Spain | 1 | 4% |
| Unknown | 8 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 48% |
| Scientists | 12 | 44% |
| Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Spain | 1 | 1% |
| Netherlands | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 80 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 25% |
| Researcher | 17 | 20% |
| Student > Master | 9 | 11% |
| Other | 5 | 6% |
| Student > Bachelor | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 15 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 24% |
| Biochemistry, Genetics and Molecular Biology | 20 | 24% |
| Agricultural and Biological Sciences | 19 | 22% |
| Computer Science | 3 | 4% |
| Nursing and Health Professions | 2 | 2% |
| Other | 4 | 5% |
| Unknown | 17 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 September 2022.
All research outputs
#1,447,057
of 24,666,614 outputs
Outputs from BioData Mining
#20
of 319 outputs
Outputs of similar age
#16,535
of 265,847 outputs
Outputs of similar age from BioData Mining
#2
of 5 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 319 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 94% 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 265,847 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.