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Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing’s Disease

Overview of attention for article published in Frontiers in endocrinology, March 2021
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

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15 Mendeley
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Title
Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing’s Disease
Published in
Frontiers in endocrinology, March 2021
DOI 10.3389/fendo.2021.635795
Pubmed ID
Authors

Wentai Zhang, Mengke Sun, Yanghua Fan, He Wang, Ming Feng, Shaohua Zhou, Renzhi Wang

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 13%
Student > Bachelor 2 13%
Student > Master 2 13%
Student > Ph. D. Student 1 7%
Lecturer > Senior Lecturer 1 7%
Other 2 13%
Unknown 5 33%
Readers by discipline Count As %
Medicine and Dentistry 7 47%
Computer Science 2 13%
Agricultural and Biological Sciences 1 7%
Environmental Science 1 7%
Unknown 4 27%
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 13 March 2021.
All research outputs
#23,069,091
of 25,711,518 outputs
Outputs from Frontiers in endocrinology
#8,494
of 13,265 outputs
Outputs of similar age
#393,319
of 453,370 outputs
Outputs of similar age from Frontiers in endocrinology
#349
of 479 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,265 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 453,370 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 479 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.