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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional significance of gain-of-function H19 lncRNA in skeletal muscle differentiation and anti-obesity effects
|
|---|---|
| Published in |
Genome Medicine, August 2021
|
| DOI | 10.1186/s13073-021-00937-4 |
| Pubmed ID | |
| Authors |
Yajuan Li, Yaohua Zhang, Qingsong Hu, Sergey D. Egranov, Zhen Xing, Zhao Zhang, Ke Liang, Youqiong Ye, Yinghong Pan, Sujash S. Chatterjee, Brandon Mistretta, Tina K. Nguyen, David H. Hawke, Preethi H. Gunaratne, Mien-Chie Hung, Leng Han, Liuqing Yang, Chunru Lin |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 40% |
| Members of the public | 2 | 40% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 13% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Professor | 2 | 5% |
| Other | 6 | 16% |
| Unknown | 17 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 26% |
| Medicine and Dentistry | 5 | 13% |
| Unspecified | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 18 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 08 September 2021.
All research outputs
#1,444,490
of 23,310,485 outputs
Outputs from Genome Medicine
#313
of 1,456 outputs
Outputs of similar age
#35,135
of 430,033 outputs
Outputs of similar age from Genome Medicine
#8
of 46 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has done well, scoring higher than 78% 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 430,033 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 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.