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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DNA methylation changes at infertility genes in newborn twins conceived by in vitro fertilisation
|
|---|---|
| Published in |
Genome Medicine, March 2017
|
| DOI | 10.1186/s13073-017-0413-5 |
| Pubmed ID | |
| Authors |
Juan E. Castillo-Fernandez, Yuk Jing Loke, Sebastian Bass-Stringer, Fei Gao, Yudong Xia, Honglong Wu, Hanlin Lu, Yuan Liu, Jun Wang, Tim D. Spector, Richard Saffery, Jeffrey M. Craig, Jordana T. Bell |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 5 | 17% |
| United Kingdom | 3 | 10% |
| Canada | 3 | 10% |
| Saudi Arabia | 1 | 3% |
| India | 1 | 3% |
| Peru | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| France | 1 | 3% |
| Thailand | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 8 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 48% |
| Scientists | 11 | 38% |
| Practitioners (doctors, other healthcare professionals) | 3 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Unknown | 60 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 21% |
| Researcher | 10 | 16% |
| Student > Bachelor | 9 | 15% |
| Student > Master | 5 | 8% |
| Professor > Associate Professor | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 14 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 23% |
| Biochemistry, Genetics and Molecular Biology | 12 | 20% |
| Agricultural and Biological Sciences | 11 | 18% |
| Computer Science | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 16 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 03 December 2017.
All research outputs
#1,335,509
of 26,017,215 outputs
Outputs from Genome Medicine
#272
of 1,612 outputs
Outputs of similar age
#25,905
of 326,461 outputs
Outputs of similar age from Genome Medicine
#8
of 28 outputs
Altmetric has tracked 26,017,215 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 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 83% 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 326,461 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 91% of its contemporaries.
We're also able to compare this research output to 28 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 71% of its contemporaries.