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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition
|
|---|---|
| Published in |
PLOS ONE, December 2018
|
| DOI | 10.1371/journal.pone.0206410 |
| Pubmed ID | |
| Authors |
Malena Correa, Mirko Zimic, Franklin Barrientos, Ronald Barrientos, Avid Román-Gonzalez, Mónica J. Pajuelo, Cynthia Anticona, Holger Mayta, Alicia Alva, Leonardo Solis-Vasquez, Dante Anibal Figueroa, Miguel A. Chavez, Roberto Lavarello, Benjamín Castañeda, Valerie A. Paz-Soldán, William Checkley, Robert H. Gilman, Richard Oberhelman |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 17% |
| Peru | 1 | 8% |
| Spain | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Scientists | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 147 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 12% |
| Student > Ph. D. Student | 13 | 9% |
| Student > Bachelor | 12 | 8% |
| Student > Master | 10 | 7% |
| Other | 8 | 5% |
| Other | 34 | 23% |
| Unknown | 52 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 24% |
| Engineering | 22 | 15% |
| Computer Science | 7 | 5% |
| Nursing and Health Professions | 4 | 3% |
| Economics, Econometrics and Finance | 2 | 1% |
| Other | 13 | 9% |
| Unknown | 64 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 25 February 2023.
All research outputs
#2,888,311
of 23,427,600 outputs
Outputs from PLOS ONE
#37,412
of 200,497 outputs
Outputs of similar age
#66,298
of 439,145 outputs
Outputs of similar age from PLOS ONE
#667
of 3,125 outputs
Altmetric has tracked 23,427,600 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 200,497 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 81% 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 439,145 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 3,125 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.