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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies
|
|---|---|
| Published in |
Circulation: Genomic and Precision Medicine, February 2017
|
| DOI | 10.1161/circgenetics.116.001487 |
| Pubmed ID | |
| Authors |
Åsa K. Hedman, Michael M. Mendelson, Riccardo E. Marioni, Stefan Gustafsson, Roby Joehanes, Marguerite R. Irvin, Degui Zhi, Johanna K. Sandling, Chen Yao, Chunyu Liu, Liming Liang, Tianxiao Huan, Allan F. McRae, Serkalem Demissie, Sonia Shah, John M. Starr, L. Adrienne Cupples, Panos Deloukas, Timothy D. Spector, Johan Sundström, Ronald M. Krauss, Donna K. Arnett, Ian J. Deary, Lars Lind, Daniel Levy, Erik Ingelsson |
X Demographics
The data shown below were collected from the profiles of 31 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 | 9 | 29% |
| United Kingdom | 3 | 10% |
| Finland | 2 | 6% |
| Sweden | 1 | 3% |
| India | 1 | 3% |
| Netherlands | 1 | 3% |
| Canada | 1 | 3% |
| Australia | 1 | 3% |
| Germany | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 52% |
| Members of the public | 15 | 48% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Finland | 1 | <1% |
| Unknown | 152 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 18% |
| Researcher | 20 | 13% |
| Student > Bachelor | 17 | 11% |
| Student > Doctoral Student | 15 | 10% |
| Student > Master | 14 | 9% |
| Other | 21 | 14% |
| Unknown | 39 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 40 | 26% |
| Medicine and Dentistry | 31 | 20% |
| Agricultural and Biological Sciences | 19 | 12% |
| Neuroscience | 4 | 3% |
| Business, Management and Accounting | 3 | 2% |
| Other | 11 | 7% |
| Unknown | 46 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 November 2017.
All research outputs
#2,149,829
of 25,837,817 outputs
Outputs from Circulation: Genomic and Precision Medicine
#144
of 1,074 outputs
Outputs of similar age
#39,894
of 325,649 outputs
Outputs of similar age from Circulation: Genomic and Precision Medicine
#4
of 13 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done well, scoring higher than 86% 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 325,649 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 87% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.