Title |
Gene-diet interactions associated with complex trait variation in an advanced intercross outbred mouse line
|
---|---|
Published in |
Nature Communications, September 2019
|
DOI | 10.1038/s41467-019-11952-w |
Pubmed ID | |
Authors |
Artem Vorobyev, Yask Gupta, Tanya Sezin, Hiroshi Koga, Yannic C. Bartsch, Meriem Belheouane, Sven Künzel, Christian Sina, Paul Schilf, Heiko Körber-Ahrens, Foteini Beltsiou, Anna Lara Ernst, Stanislav Khil’chenko, Hassanin Al-Aasam, Rudolf A. Manz, Sandra Diehl, Moritz Steinhaus, Joanna Jascholt, Phillip Kouki, Wolf-Henning Boehncke, Tanya N. Mayadas, Detlef Zillikens, Christian D. Sadik, Hiroshi Nishi, Marc Ehlers, Steffen Möller, Katja Bieber, John F. Baines, Saleh M. Ibrahim, Ralf J. Ludwig |
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 % |
---|---|---|
Germany | 4 | 15% |
United States | 4 | 15% |
Canada | 2 | 7% |
United Kingdom | 1 | 4% |
India | 1 | 4% |
Korea, Republic of | 1 | 4% |
Portugal | 1 | 4% |
Unknown | 13 | 48% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 44% |
Scientists | 11 | 41% |
Science communicators (journalists, bloggers, editors) | 3 | 11% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 14% |
Student > Bachelor | 6 | 12% |
Student > Doctoral Student | 6 | 12% |
Student > Ph. D. Student | 6 | 12% |
Professor | 4 | 8% |
Other | 10 | 20% |
Unknown | 11 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 16 | 32% |
Medicine and Dentistry | 7 | 14% |
Immunology and Microbiology | 4 | 8% |
Agricultural and Biological Sciences | 3 | 6% |
Unspecified | 1 | 2% |
Other | 2 | 4% |
Unknown | 17 | 34% |
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 16 April 2020.
All research outputs
#1,410,298
of 23,577,654 outputs
Outputs from Nature Communications
#20,004
of 49,108 outputs
Outputs of similar age
#31,313
of 342,217 outputs
Outputs of similar age from Nature Communications
#640
of 1,484 outputs
Altmetric has tracked 23,577,654 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 49,108 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.2. This one has gotten more attention than average, scoring higher than 59% 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 342,217 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 90% of its contemporaries.
We're also able to compare this research output to 1,484 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 56% of its contemporaries.