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The eICU Collaborative Research Database, a freely available multi-center database for critical care research

Overview of attention for article published in Scientific Data, September 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

policy
1 policy source
twitter
121 tweeters

Citations

dimensions_citation
168 Dimensions

Readers on

mendeley
274 Mendeley
Title
The eICU Collaborative Research Database, a freely available multi-center database for critical care research
Published in
Scientific Data, September 2018
DOI 10.1038/sdata.2018.178
Pubmed ID
Authors

Tom J. Pollard, Alistair E. W. Johnson, Jesse D. Raffa, Leo A. Celi, Roger G. Mark, Omar Badawi

Abstract

Critical care patients are monitored closely through the course of their illness. As a result of this monitoring, large amounts of data are routinely collected for these patients. Philips Healthcare has developed a telehealth system, the eICU Program, which leverages these data to support management of critically ill patients. Here we describe the eICU Collaborative Research Database, a multi-center intensive care unit (ICU)database with high granularity data for over 200,000 admissions to ICUs monitored by eICU Programs across the United States. The database is deidentified, and includes vital sign measurements, care plan documentation, severity of illness measures, diagnosis information, treatment information, and more. Data are publicly available after registration, including completion of a training course in research with human subjects and signing of a data use agreement mandating responsible handling of the data and adhering to the principle of collaborative research. The freely available nature of the data will support a number of applications including the development of machine learning algorithms, decision support tools, and clinical research.

Twitter Demographics

The data shown below were collected from the profiles of 121 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 274 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 19%
Researcher 47 17%
Student > Master 40 15%
Student > Bachelor 21 8%
Student > Doctoral Student 15 5%
Other 50 18%
Unknown 50 18%
Readers by discipline Count As %
Medicine and Dentistry 56 20%
Computer Science 55 20%
Engineering 35 13%
Biochemistry, Genetics and Molecular Biology 6 2%
Agricultural and Biological Sciences 6 2%
Other 42 15%
Unknown 74 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 78. 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 04 May 2021.
All research outputs
#330,887
of 17,668,039 outputs
Outputs from Scientific Data
#115
of 1,606 outputs
Outputs of similar age
#9,554
of 282,591 outputs
Outputs of similar age from Scientific Data
#1
of 1 outputs
Altmetric has tracked 17,668,039 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,606 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.1. This one has done particularly well, scoring higher than 92% 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 282,591 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 96% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them