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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Best PEEP trials are dependent on tidal volume
|
|---|---|
| Published in |
Critical Care, May 2018
|
| DOI | 10.1186/s13054-018-2047-4 |
| Pubmed ID | |
| Authors |
Andrew C. McKown, Matthew W. Semler, Todd W. Rice |
| Abstract |
Determining the optimal positive end-expiratory pressure (PEEP) in patients with acute respiratory distress syndrome remains an area of active investigation. Most trials individualizing PEEP optimize one physiologic parameter (e.g., driving pressure) by titrating PEEP while holding other ventilator settings constant. Optimal PEEP, however, may depend on the tidal volume, and changing the tidal volume with which a best PEEP trial is performed may lead to different best PEEP settings in the same patient. ClinicalTrials.gov, NCT02871102. Registered on 12 August 2016. |
X Demographics
The data shown below were collected from the profiles of 58 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 | 5 | 9% |
| Spain | 4 | 7% |
| Mexico | 3 | 5% |
| Saudi Arabia | 2 | 3% |
| France | 2 | 3% |
| United Kingdom | 2 | 3% |
| Argentina | 2 | 3% |
| Australia | 1 | 2% |
| Colombia | 1 | 2% |
| Other | 8 | 14% |
| Unknown | 28 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 74% |
| Practitioners (doctors, other healthcare professionals) | 9 | 16% |
| Scientists | 4 | 7% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 10 | 18% |
| Researcher | 8 | 14% |
| Student > Ph. D. Student | 5 | 9% |
| Professor > Associate Professor | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 56% |
| Nursing and Health Professions | 3 | 5% |
| Engineering | 2 | 4% |
| Energy | 1 | 2% |
| Materials Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 17 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 10 June 2018.
All research outputs
#1,183,309
of 25,773,273 outputs
Outputs from Critical Care
#964
of 6,618 outputs
Outputs of similar age
#25,352
of 340,005 outputs
Outputs of similar age from Critical Care
#36
of 96 outputs
Altmetric has tracked 25,773,273 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,618 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has done well, scoring higher than 85% 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 340,005 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% 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 has gotten more attention than average, scoring higher than 62% of its contemporaries.