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Prediction of neonatal deaths in NICUs: development and validation of machine learning models

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2021
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Readers on

mendeley
8 Mendeley
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Title
Prediction of neonatal deaths in NICUs: development and validation of machine learning models
Published in
BMC Medical Informatics and Decision Making, April 2021
DOI 10.1186/s12911-021-01497-8
Pubmed ID
Authors

Abbas Sheikhtaheri, Mohammad Reza Zarkesh, Raheleh Moradi, Farzaneh Kermani

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Student > Bachelor 1 13%
Professor 1 13%
Student > Master 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Medicine and Dentistry 3 38%
Nursing and Health Professions 1 13%
Computer Science 1 13%
Neuroscience 1 13%
Materials Science 1 13%
Other 0 0%
Unknown 1 13%

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 03 May 2021.
All research outputs
#13,710,673
of 17,864,600 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,253
of 1,625 outputs
Outputs of similar age
#187,455
of 285,699 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 7 outputs
Altmetric has tracked 17,864,600 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,625 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 19th percentile – i.e., 19% 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 285,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.