↓ Skip to main content

Development of a radiomics model to diagnose pheochromocytoma preoperatively: a multicenter study with prospective validation

Overview of attention for article published in Journal of Translational Medicine, January 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
7 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Development of a radiomics model to diagnose pheochromocytoma preoperatively: a multicenter study with prospective validation
Published in
Journal of Translational Medicine, January 2022
DOI 10.1186/s12967-022-03233-w
Pubmed ID
Authors

Jianqiu Kong, Junjiong Zheng, Jieying Wu, Shaoxu Wu, Jinhua Cai, Xiayao Diao, Weibin Xie, Xiong Chen, Hao Yu, Lifang Huang, Hongpeng Fang, Xinxiang Fan, Haide Qin, Yong Li, Zhuo Wu, Jian Huang, Tianxin Lin

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Other 1 14%
Unknown 5 71%
Readers by discipline Count As %
Computer Science 1 14%
Medicine and Dentistry 1 14%
Unknown 5 71%
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 20 January 2022.
All research outputs
#15,767,308
of 24,037,774 outputs
Outputs from Journal of Translational Medicine
#2,129
of 4,256 outputs
Outputs of similar age
#292,771
of 539,884 outputs
Outputs of similar age from Journal of Translational Medicine
#42
of 96 outputs
Altmetric has tracked 24,037,774 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,256 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 43rd percentile – i.e., 43% 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 539,884 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 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 52% of its contemporaries.