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Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models

Overview of attention for article published in Health Information Science and Systems, August 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
38 Mendeley
Title
Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models
Published in
Health Information Science and Systems, August 2019
DOI 10.1007/s13755-019-0079-z
Pubmed ID
Authors

Zafer Cömert, Abdulkadir Şengür, Ümit Budak, Adnan Fatih Kocamaz

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 16%
Student > Master 4 11%
Other 3 8%
Student > Ph. D. Student 3 8%
Researcher 2 5%
Other 2 5%
Unknown 18 47%
Readers by discipline Count As %
Computer Science 6 16%
Medicine and Dentistry 5 13%
Engineering 3 8%
Nursing and Health Professions 2 5%
Physics and Astronomy 2 5%
Other 1 3%
Unknown 19 50%
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 20 August 2019.
All research outputs
#15,578,413
of 23,154,520 outputs
Outputs from Health Information Science and Systems
#51
of 97 outputs
Outputs of similar age
#210,650
of 342,282 outputs
Outputs of similar age from Health Information Science and Systems
#1
of 2 outputs
Altmetric has tracked 23,154,520 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 97 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 39th percentile – i.e., 39% 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 342,282 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 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them