| Title |
Using Integrated Bioinformatics Analysis to Identify Abnormally Methylated Differentially Expressed Genes in Hepatocellular Carcinoma
|
|---|---|
| Published in |
International Journal of General Medicine, March 2021
|
| DOI | 10.2147/ijgm.s294505 |
| Pubmed ID | |
| Authors |
Qing-Lian Chen, Qian Yan, Kun-Liang Feng, Chun-Feng Xie, Chong-Kai Fang, Ji-Nan Wang, Li-Hua Liu, Ya Li, Chong Zhong |
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 17% |
| Student > Master | 2 | 17% |
| Student > Postgraduate | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Unknown | 6 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Computer Science | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 7 | 58% |
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 19 March 2021.
All research outputs
#15,329,446
of 23,567,572 outputs
Outputs from International Journal of General Medicine
#583
of 1,496 outputs
Outputs of similar age
#246,000
of 421,181 outputs
Outputs of similar age from International Journal of General Medicine
#28
of 71 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,496 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has gotten more attention than average, scoring higher than 55% 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 421,181 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 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 57% of its contemporaries.