| Title |
Speckle tracking quantification of lung sliding for the diagnosis of pneumothorax: a multicentric observational study
|
|---|---|
| Published in |
Intensive Care Medicine, July 2019
|
| DOI | 10.1007/s00134-019-05710-1 |
| Pubmed ID | |
| Authors |
Gary Duclos, Xavier Bobbia, Thibaut Markarian, Laurent Muller, Camille Cheyssac, Sarah Castillon, Noémie Resseguier, Alain Boussuges, Giovanni Volpicelli, Marc Leone, Laurent Zieleskiewicz |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 2 | 18% |
| Malaysia | 1 | 9% |
| Netherlands | 1 | 9% |
| France | 1 | 9% |
| Switzerland | 1 | 9% |
| Australia | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Practitioners (doctors, other healthcare professionals) | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 20% |
| Other | 7 | 16% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 52% |
| Computer Science | 2 | 5% |
| Mathematics | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Chemistry | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 14 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 21 September 2019.
All research outputs
#4,180,862
of 23,153,184 outputs
Outputs from Intensive Care Medicine
#2,157
of 5,037 outputs
Outputs of similar age
#83,004
of 346,342 outputs
Outputs of similar age from Intensive Care Medicine
#55
of 96 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,037 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 346,342 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 76% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.