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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel deep learning-based approach for prediction of neonatal respiratory disorders from chest X-ray images
|
|---|---|
| Published in |
Biocybernetics and Biomedical Engineering, October 2023
|
| DOI | 10.1016/j.bbe.2023.08.004 |
| Authors |
Ayse Erdogan Yıldırım, Murat Canayaz |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 3 | 33% |
| Professor | 1 | 11% |
| Student > Master | 1 | 11% |
| Researcher | 1 | 11% |
| Student > Postgraduate | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 56% |
| Computer Science | 1 | 11% |
| Unknown | 3 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 September 2023.
All research outputs
#15,239,977
of 25,478,886 outputs
Outputs from Biocybernetics and Biomedical Engineering
#39
of 97 outputs
Outputs of similar age
#151,749
of 356,344 outputs
Outputs of similar age from Biocybernetics and Biomedical Engineering
#1
of 1 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 97 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 57% 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 356,344 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 55% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them