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Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda

Overview of attention for article published in BMC Pregnancy and Childbirth, April 2022
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
143 Mendeley
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Title
Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda
Published in
BMC Pregnancy and Childbirth, April 2022
DOI 10.1186/s12884-022-04594-2
Pubmed ID
Authors

Muhammad Nazrul Islam, Sumaiya Nuha Mustafina, Tahasin Mahmud, Nafiz Imtiaz Khan

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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 11%
Student > Ph. D. Student 11 8%
Unspecified 10 7%
Student > Bachelor 7 5%
Researcher 7 5%
Other 19 13%
Unknown 73 51%
Readers by discipline Count As %
Computer Science 20 14%
Medicine and Dentistry 14 10%
Nursing and Health Professions 11 8%
Unspecified 10 7%
Engineering 6 4%
Other 7 5%
Unknown 75 52%
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 May 2022.
All research outputs
#16,004,478
of 23,755,107 outputs
Outputs from BMC Pregnancy and Childbirth
#3,116
of 4,382 outputs
Outputs of similar age
#252,023
of 443,459 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#87
of 155 outputs
Altmetric has tracked 23,755,107 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 4,382 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 21st percentile – i.e., 21% 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 443,459 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.