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Development and external validation of prognostic scoring models for portal vein thrombosis: a multicenter retrospective study

Overview of attention for article published in Thrombosis Journal, January 2023
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  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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2 X users

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2 Mendeley
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Title
Development and external validation of prognostic scoring models for portal vein thrombosis: a multicenter retrospective study
Published in
Thrombosis Journal, January 2023
DOI 10.1186/s12959-023-00455-w
Pubmed ID
Authors

Xuan Zhong, Shan Li, Jiali Hu, Jinlai Lu, Wei Wang, Miao Hu, Qinjuan Sun, Shuo Zhang, Xiaoqing Yang, Changqing Yang, Lan Zhong

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 %
Student > Ph. D. Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Agricultural and Biological 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 31 January 2023.
All research outputs
#16,500,275
of 25,271,884 outputs
Outputs from Thrombosis Journal
#236
of 404 outputs
Outputs of similar age
#243,880
of 470,326 outputs
Outputs of similar age from Thrombosis Journal
#5
of 20 outputs
Altmetric has tracked 25,271,884 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 404 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 40th percentile – i.e., 40% 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 470,326 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.