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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Radio-Histological Correlation of Lung Features in Severe COVID-19 Through CT-Scan and Lung Ultrasound Evaluation
|
|---|---|
| Published in |
Frontiers in Medicine, April 2022
|
| DOI | 10.3389/fmed.2022.820661 |
| Pubmed ID | |
| Authors |
Pere Trias-Sabrià, Eduard Dorca Duch, Maria Molina-Molina, Samantha Aso, Marta Díez-Ferrer, Alfredo Marín Muñiz, Jaume Bordas-Martínez, Joan Sabater, Patricio Luburich, Belén del Rio, Xavier Solanich, Jordi Dorca, Salud Santos, Guillermo Suárez-Cuartin |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 40% |
| United States | 2 | 20% |
| Switzerland | 1 | 10% |
| Comoros | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Nursing and Health Professions | 1 | 17% |
| Agricultural and Biological Sciences | 1 | 17% |
| Unknown | 3 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 09 May 2022.
All research outputs
#2,679,616
of 24,998,746 outputs
Outputs from Frontiers in Medicine
#752
of 6,947 outputs
Outputs of similar age
#58,962
of 434,507 outputs
Outputs of similar age from Frontiers in Medicine
#62
of 566 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,947 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done well, scoring higher than 89% 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 434,507 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 86% of its contemporaries.
We're also able to compare this research output to 566 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.