| Title |
Persistent changes in liver methylation and microbiome composition following reversal of diet-induced non-alcoholic-fatty liver disease
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, May 2019
|
| DOI | 10.1007/s00018-019-03114-4 |
| Pubmed ID | |
| Authors |
Hyejin Kim, Oliver Worsley, Edwin Yang, Rikky Wenang Purbojati, Ai Leng Liang, Wilson Tan, Daniela I. Drautz Moses, Septian Hartono, Vanessa Fan, Tony Kiat Hon Lim, Stephan C. Schuster, Roger SY Foo, Pierce Kah Hoe Chow, Sven Pettersson |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 6 | 10% |
| Researcher | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 24 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 20% |
| Medicine and Dentistry | 10 | 17% |
| Agricultural and Biological Sciences | 8 | 14% |
| Nursing and Health Professions | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 22 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 November 2019.
All research outputs
#16,031,680
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#3,071
of 4,151 outputs
Outputs of similar age
#218,328
of 352,140 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#61
of 92 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 352,140 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.