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Integrated bioinformatics analysis for conducting a prognostic model and identifying immunotherapeutic targets in gastric cancer

Overview of attention for article published in BMC Bioinformatics, May 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
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Title
Integrated bioinformatics analysis for conducting a prognostic model and identifying immunotherapeutic targets in gastric cancer
Published in
BMC Bioinformatics, May 2023
DOI 10.1186/s12859-023-05312-1
Pubmed ID
Authors

YaLing Liu, Dan Li, Yong Chen, YiJuan Liu, YiJuan Lin, XunRu Huang, Ting Wu, ChengDang Wang, Jian Ding

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 50%
Other 1 50%
Readers by discipline Count As %
Social Sciences 1 50%
Medicine and Dentistry 1 50%
Attention Score in Context

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 11 May 2023.
All research outputs
#15,636,297
of 24,770,025 outputs
Outputs from BMC Bioinformatics
#4,922
of 7,583 outputs
Outputs of similar age
#195,321
of 384,517 outputs
Outputs of similar age from BMC Bioinformatics
#81
of 125 outputs
Altmetric has tracked 24,770,025 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,583 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 31st percentile – i.e., 31% 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 384,517 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.