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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Elevated polygenic burden for autism is associated with differential DNA methylation at birth
|
|---|---|
| Published in |
Genome Medicine, March 2018
|
| DOI | 10.1186/s13073-018-0527-4 |
| Pubmed ID | |
| Authors |
Eilis Hannon, Diana Schendel, Christine Ladd-Acosta, Jakob Grove, iPSYCH-Broad ASD Group, Christine Søholm Hansen, Shan V. Andrews, David Michael Hougaard, Michaeline Bresnahan, Ole Mors, Mads Vilhelm Hollegaard, Marie Bækvad-Hansen, Mady Hornig, Preben Bo Mortensen, Anders D. Børglum, Thomas Werge, Marianne Giørtz Pedersen, Merete Nordentoft, Joseph Buxbaum, M. Daniele Fallin, Jonas Bybjerg-Grauholm, Abraham Reichenberg, Jonathan Mill |
X Demographics
The data shown below were collected from the profiles of 59 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 Kingdom | 14 | 24% |
| United States | 11 | 19% |
| Venezuela, Bolivarian Republic of | 3 | 5% |
| Spain | 3 | 5% |
| France | 2 | 3% |
| Chile | 1 | 2% |
| Denmark | 1 | 2% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 18 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 39 | 66% |
| Scientists | 17 | 29% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 222 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 15% |
| Researcher | 32 | 14% |
| Student > Bachelor | 22 | 10% |
| Student > Master | 17 | 8% |
| Student > Doctoral Student | 12 | 5% |
| Other | 42 | 19% |
| Unknown | 64 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 35 | 16% |
| Medicine and Dentistry | 25 | 11% |
| Psychology | 21 | 9% |
| Neuroscience | 20 | 9% |
| Agricultural and Biological Sciences | 17 | 8% |
| Other | 28 | 13% |
| Unknown | 76 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 10 April 2020.
All research outputs
#854,363
of 25,998,826 outputs
Outputs from Genome Medicine
#167
of 1,612 outputs
Outputs of similar age
#19,011
of 348,130 outputs
Outputs of similar age from Genome Medicine
#4
of 25 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done well, scoring higher than 89% 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 348,130 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 94% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.