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A MRI radiomics-based model for prediction of pelvic lymph node metastasis in cervical cancer

Overview of attention for article published in World Journal of Surgical Oncology, February 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
1 Mendeley
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Title
A MRI radiomics-based model for prediction of pelvic lymph node metastasis in cervical cancer
Published in
World Journal of Surgical Oncology, February 2024
DOI 10.1186/s12957-024-03333-5
Pubmed ID
Authors

Tao Wang, Yan-Yu Li, Nan-Nan Ma, Pei-An Wang, Bei Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 300%
Readers by discipline Count As %
Unspecified 3 300%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 March 2024.
All research outputs
#6,788,422
of 25,476,463 outputs
Outputs from World Journal of Surgical Oncology
#186
of 2,146 outputs
Outputs of similar age
#60,279
of 235,009 outputs
Outputs of similar age from World Journal of Surgical Oncology
#2
of 7 outputs
Altmetric has tracked 25,476,463 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,146 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done particularly well, scoring higher than 91% 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 235,009 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 74% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.