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X Demographics
Mendeley readers
Attention Score in Context
Title |
Development of a machine learning-based model to predict major adverse events after surgery for type A aortic dissection complicated by malnutrition
|
---|---|
Published in |
Frontiers in Nutrition, July 2024
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DOI | 10.3389/fnut.2024.1428532 |
Pubmed ID | |
Authors |
Lin-feng Xie, Xin-fan Lin, Yu-ling Xie, Qing-song Wu, Zhi-huang Qiu, Quan Lan, Liang-wan Chen |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 1 | 100% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 1 | 100% |
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 04 July 2024.
All research outputs
#23,569,672
of 26,240,084 outputs
Outputs from Frontiers in Nutrition
#5,451
of 7,406 outputs
Outputs of similar age
#116,560
of 146,858 outputs
Outputs of similar age from Frontiers in Nutrition
#109
of 255 outputs
Altmetric has tracked 26,240,084 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 7,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.1. 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 146,858 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 255 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.