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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2022
|
| DOI | 10.1186/s12911-022-02021-2 |
| Pubmed ID | |
| Authors |
Allan Danilo de Lima, Agnaldo J. Lopes, Jorge Luis Machado do Amaral, Pedro Lopes de Melo |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 12% |
| Researcher | 2 | 12% |
| Librarian | 1 | 6% |
| Other | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 7 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 18% |
| Engineering | 2 | 12% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 53% |
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 20 December 2022.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,852
of 2,030 outputs
Outputs of similar age
#358,621
of 447,298 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#29
of 41 outputs
Altmetric has tracked 23,881,329 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 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. 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 447,298 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 41 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.