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X Demographics
Mendeley readers
Attention Score in Context
Title |
Integrated bioinformatics and machine-learning screening for immune-related genes in diagnosing non-alcoholic fatty liver disease with ischemic stroke and RRS1 pan-cancer analysis
|
---|---|
Published in |
Frontiers in immunology, April 2023
|
DOI | 10.3389/fimmu.2023.1113634 |
Pubmed ID | |
Authors |
Huayan Bao, Jianwen Li, Boyang Zhang, Ju Huang, Danke Su, Lidong Liu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 15% |
Researcher | 2 | 15% |
Student > Doctoral Student | 1 | 8% |
Student > Master | 1 | 8% |
Other | 1 | 8% |
Other | 0 | 0% |
Unknown | 6 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Nursing and Health Professions | 1 | 8% |
Neuroscience | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Unknown | 7 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 April 2023.
All research outputs
#16,055,156
of 26,171,302 outputs
Outputs from Frontiers in immunology
#15,669
of 32,855 outputs
Outputs of similar age
#205,760
of 428,917 outputs
Outputs of similar age from Frontiers in immunology
#572
of 1,433 outputs
Altmetric has tracked 26,171,302 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,855 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 52% 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 428,917 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 1,433 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 60% of its contemporaries.