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Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysis

Overview of attention for article published in Frontiers in oncology, April 2024
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1 X user

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3 Mendeley
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Title
Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysis
Published in
Frontiers in oncology, April 2024
DOI 10.3389/fonc.2024.1332387
Pubmed ID
Authors

Qian Yan, Yubin Chen, Chunsheng Liu, Hexian Shi, Mingqian Han, Zelong Wu, Shanzhou Huang, Chuanzhao Zhang, Baohua Hou

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 67%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Unspecified 2 67%
Medicine and Dentistry 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 May 2024.
All research outputs
#21,465,922
of 26,343,220 outputs
Outputs from Frontiers in oncology
#11,853
of 22,976 outputs
Outputs of similar age
#231,694
of 337,650 outputs
Outputs of similar age from Frontiers in oncology
#224
of 359 outputs
Altmetric has tracked 26,343,220 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,976 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 27th percentile – i.e., 27% 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 337,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 359 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.