The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
Attention Score in Context
Title |
Identification and validation of a tyrosine metabolism-related prognostic prediction model and characterization of the tumor microenvironment infiltration in hepatocellular carcinoma
|
---|---|
Published in |
Frontiers in immunology, October 2022
|
DOI | 10.3389/fimmu.2022.994259 |
Pubmed ID | |
Authors |
Yangying Zhou, Xuanxuan Li, Guo Long, Yongguang Tao, Ledu Zhou, Jianing Tang |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 2 | 22% |
Unspecified | 1 | 11% |
Student > Bachelor | 1 | 11% |
Student > Master | 1 | 11% |
Unknown | 4 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 33% |
Unspecified | 1 | 11% |
Computer Science | 1 | 11% |
Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 October 2023.
All research outputs
#4,550,890
of 26,179,695 outputs
Outputs from Frontiers in immunology
#5,073
of 33,036 outputs
Outputs of similar age
#86,563
of 446,160 outputs
Outputs of similar age from Frontiers in immunology
#239
of 1,943 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,036 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 84% 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 446,160 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 1,943 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.