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X Demographics
Mendeley readers
Attention Score in Context
Title |
Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records
|
---|---|
Published in |
Frontiers in endocrinology, January 2024
|
DOI | 10.3389/fendo.2024.1298628 |
Pubmed ID | |
Authors |
Zahra Zad, Victoria S. Jiang, Amber T. Wolf, Taiyao Wang, J. Jojo Cheng, Ioannis Ch. Paschalidis, Shruthi Mahalingaiah |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 40% |
Practitioners (doctors, other healthcare professionals) | 2 | 40% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 6% |
Researcher | 2 | 6% |
Other | 1 | 3% |
Lecturer > Senior Lecturer | 1 | 3% |
Student > Master | 1 | 3% |
Other | 1 | 3% |
Unknown | 23 | 74% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 6% |
Chemical Engineering | 1 | 3% |
Mathematics | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Earth and Planetary Sciences | 1 | 3% |
Other | 1 | 3% |
Unknown | 24 | 77% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 05 February 2024.
All research outputs
#14,948,381
of 26,413,848 outputs
Outputs from Frontiers in endocrinology
#2,990
of 13,537 outputs
Outputs of similar age
#137,037
of 380,124 outputs
Outputs of similar age from Frontiers in endocrinology
#73
of 640 outputs
Altmetric has tracked 26,413,848 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,537 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 77% 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 380,124 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 640 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.