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A Nomogram Model Involving Immunohistochemical Markers for Predicting the Recurrence of Stage I-II Endometrial Cancer

Overview of attention for article published in Frontiers in oncology, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
14 Mendeley
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Title
A Nomogram Model Involving Immunohistochemical Markers for Predicting the Recurrence of Stage I-II Endometrial Cancer
Published in
Frontiers in oncology, January 2021
DOI 10.3389/fonc.2020.586081
Pubmed ID
Authors

Peng Jiang, Mingzhu Jia, Jing Hu, Zhen Huang, Ying Deng, Zhuoying Hu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 14%
Student > Postgraduate 2 14%
Student > Master 2 14%
Other 1 7%
Unknown 7 50%
Readers by discipline Count As %
Medicine and Dentistry 3 21%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Agricultural and Biological Sciences 1 7%
Mathematics 1 7%
Unknown 8 57%
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 22 September 2022.
All research outputs
#8,784,826
of 25,990,981 outputs
Outputs from Frontiers in oncology
#3,486
of 22,859 outputs
Outputs of similar age
#211,411
of 537,892 outputs
Outputs of similar age from Frontiers in oncology
#147
of 740 outputs
Altmetric has tracked 25,990,981 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,859 research outputs from this source. They receive a mean Attention Score of 3.1. 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 537,892 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 53% of its contemporaries.
We're also able to compare this research output to 740 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.