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Concordance between DSM-IV and DSM-5 criteria for delirium diagnosis in a pooled database of 768 prospectively evaluated patients using the delirium rating scale-revised-98

Overview of attention for article published in BMC Medicine, September 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
123 Mendeley
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Title
Concordance between DSM-IV and DSM-5 criteria for delirium diagnosis in a pooled database of 768 prospectively evaluated patients using the delirium rating scale-revised-98
Published in
BMC Medicine, September 2014
DOI 10.1186/s12916-014-0164-8
Pubmed ID
Authors

David J Meagher, Alessandro Morandi, Sharon K Inouye, Wes Ely, Dimitrios Adamis, Alasdair J Maclullich, James L Rudolph, Karin Neufeld, Maeve Leonard, Giuseppe Bellelli, Daniel Davis, Andrew Teodorczuk, Stefan Kreisel, Christine Thomas, Wolfgang Hasemann, Suzanne Timmons, Niamh O’Regan, Sandeep Grover, Faiza Jabbar, Walter Cullen, Colum Dunne, Barbara Kamholz, Barbara C Van Munster, Sophia E De Rooij, Jos De Jonghe, Paula T Trzepacz

Abstract

The Diagnostic and Statistical Manual fifth edition (DSM-5) provides new criteria for delirium diagnosis. We examined delirium diagnosis using these new criteria compared with the Diagnostic and Statistical Manual fourth edition (DSM-IV) in a large dataset of patients assessed for delirium and related presentations.

Twitter Demographics

The data shown below were collected from the profiles of 11 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
Korea, Republic of 1 <1%
Brazil 1 <1%
Unknown 119 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 15%
Researcher 17 14%
Student > Ph. D. Student 14 11%
Student > Doctoral Student 13 11%
Student > Postgraduate 12 10%
Other 32 26%
Unknown 17 14%
Readers by discipline Count As %
Medicine and Dentistry 65 53%
Nursing and Health Professions 12 10%
Neuroscience 7 6%
Psychology 7 6%
Engineering 3 2%
Other 6 5%
Unknown 23 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 July 2020.
All research outputs
#4,871,223
of 18,304,658 outputs
Outputs from BMC Medicine
#1,953
of 2,783 outputs
Outputs of similar age
#52,616
of 218,527 outputs
Outputs of similar age from BMC Medicine
#8
of 13 outputs
Altmetric has tracked 18,304,658 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,783 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.3. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 218,527 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 75% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.