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Identification of cervical squamous cell carcinoma feature genes and construction of a prognostic model based on immune-related features

Overview of attention for article published in BMC Women's Health, September 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Identification of cervical squamous cell carcinoma feature genes and construction of a prognostic model based on immune-related features
Published in
BMC Women's Health, September 2022
DOI 10.1186/s12905-022-01942-4
Pubmed ID
Authors

Chun He, Lili Ren, Minchi Yuan, Mengna Liu, Kongxiao Liu, Xuexue Qian, Jun Lu

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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Unknown 3 60%
Readers by discipline Count As %
Nursing and Health Professions 1 20%
Immunology and Microbiology 1 20%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 September 2022.
All research outputs
#13,218,191
of 23,292,144 outputs
Outputs from BMC Women's Health
#931
of 1,885 outputs
Outputs of similar age
#161,035
of 433,924 outputs
Outputs of similar age from BMC Women's Health
#37
of 94 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,885 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 49th percentile – i.e., 49% 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 433,924 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 61% of its contemporaries.
We're also able to compare this research output to 94 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.