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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of potential miRNA–mRNA regulatory network contributing to pathogenesis of HBV-related HCC
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2019
|
| DOI | 10.1186/s12967-018-1761-7 |
| Pubmed ID | |
| Authors |
Weiyang Lou, Jingxing Liu, Bisha Ding, Danni Chen, Liang Xu, Jun Ding, Donghai Jiang, Lin Zhou, Shusen Zheng, Weimin Fan |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Other | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 13 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Agricultural and Biological Sciences | 4 | 13% |
| Medicine and Dentistry | 3 | 10% |
| Mathematics | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 15 | 48% |
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 04 January 2019.
All research outputs
#19,011,832
of 23,567,572 outputs
Outputs from Journal of Translational Medicine
#3,087
of 4,185 outputs
Outputs of similar age
#328,349
of 440,676 outputs
Outputs of similar age from Journal of Translational Medicine
#50
of 98 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,185 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 16th percentile – i.e., 16% 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 440,676 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.