The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning applied in maternal and fetal health: a narrative review focused on pregnancy diseases and complications
|
|---|---|
| Published in |
Frontiers in endocrinology, May 2023
|
| DOI | 10.3389/fendo.2023.1130139 |
| Pubmed ID | |
| Authors |
Daniela Mennickent, Andrés Rodríguez, Ma. Cecilia Opazo, Claudia A. Riedel, Erica Castro, Alma Eriz-Salinas, Javiera Appel-Rubio, Claudio Aguayo, Alicia E. Damiano, Enrique Guzmán-Gutiérrez, Juan Araya |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 7% |
| Student > Master | 8 | 7% |
| Lecturer | 7 | 6% |
| Student > Ph. D. Student | 5 | 4% |
| Other | 4 | 3% |
| Other | 14 | 11% |
| Unknown | 75 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 10% |
| Medicine and Dentistry | 9 | 7% |
| Nursing and Health Professions | 7 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Unspecified | 2 | 2% |
| Other | 9 | 7% |
| Unknown | 79 | 65% |
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 14 June 2023.
All research outputs
#17,881,371
of 26,180,352 outputs
Outputs from Frontiers in endocrinology
#5,501
of 13,379 outputs
Outputs of similar age
#232,726
of 398,861 outputs
Outputs of similar age from Frontiers in endocrinology
#240
of 735 outputs
Altmetric has tracked 26,180,352 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,379 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 398,861 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 735 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.