The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Title |
Recurrent Wheeze Exacerbations Following Acute Bronchiolitis—A Machine Learning Approach
|
---|---|
Published in |
Frontiers in Allergy, November 2021
|
DOI | 10.3389/falgy.2021.728389 |
Pubmed ID | |
Authors |
Heidi Makrinioti, Paraskevi Maggina, John Lakoumentas, Paraskevi Xepapadaki, Stella Taka, Spyridon Megremis, Maria Manioudaki, Sebastian L. Johnston, Maria Tsolia, Vassiliki Papaevangelou, Nikolaos G. Papadopoulos |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Greece | 1 | 10% |
United Kingdom | 1 | 10% |
Switzerland | 1 | 10% |
Unknown | 7 | 70% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 60% |
Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 44% |
Student > Postgraduate | 2 | 13% |
Other | 1 | 6% |
Student > Bachelor | 1 | 6% |
Unknown | 5 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 5 | 31% |
Medicine and Dentistry | 5 | 31% |
Unknown | 6 | 38% |