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Neonatal Sepsis Diagnosis Decision-Making Based on Artificial Neural Networks

Overview of attention for article published in Frontiers in Pediatrics, September 2020
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1 X user

Citations

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93 Mendeley
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Title
Neonatal Sepsis Diagnosis Decision-Making Based on Artificial Neural Networks
Published in
Frontiers in Pediatrics, September 2020
DOI 10.3389/fped.2020.00525
Pubmed ID
Authors

Addy Cecilia Helguera-Repetto, María Dolores Soto-Ramírez, Oscar Villavicencio-Carrisoza, Samantha Yong-Mendoza, Angélica Yong-Mendoza, Moisés León-Juárez, Jorge A. González-y-Merchand, Verónica Zaga-Clavellina, Claudine Irles

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

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 11%
Researcher 6 6%
Student > Master 6 6%
Professor 4 4%
Student > Doctoral Student 4 4%
Other 16 17%
Unknown 47 51%
Readers by discipline Count As %
Medicine and Dentistry 17 18%
Computer Science 5 5%
Unspecified 4 4%
Immunology and Microbiology 4 4%
Nursing and Health Professions 3 3%
Other 10 11%
Unknown 50 54%
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 16 September 2020.
All research outputs
#20,642,821
of 23,237,082 outputs
Outputs from Frontiers in Pediatrics
#4,295
of 6,243 outputs
Outputs of similar age
#343,155
of 401,005 outputs
Outputs of similar age from Frontiers in Pediatrics
#156
of 257 outputs
Altmetric has tracked 23,237,082 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 6,243 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 401,005 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 257 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.