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Identifying and adapting interventions to reduce documentation burden and improve nurses’ efficiency in using electronic health record systems (The IDEA Study): protocol for a mixed methods study

Overview of attention for article published in BMC Nursing, August 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
64 Mendeley
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Title
Identifying and adapting interventions to reduce documentation burden and improve nurses’ efficiency in using electronic health record systems (The IDEA Study): protocol for a mixed methods study
Published in
BMC Nursing, August 2022
DOI 10.1186/s12912-022-00989-w
Pubmed ID
Authors

Gillian Strudwick, Lianne Jeffs, Jessica Kemp, Lydia Sequeira, Brian Lo, Nelson Shen, Petroiya Paterson, Noelle Coombe, Lily Yang, Kara Ronald, Wei Wang, Sonia Pagliaroli, Tania Tajirian, Sara Ling, Damian Jankowicz

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 8%
Unspecified 3 5%
Student > Bachelor 3 5%
Other 2 3%
Librarian 2 3%
Other 6 9%
Unknown 43 67%
Readers by discipline Count As %
Nursing and Health Professions 11 17%
Unspecified 3 5%
Medicine and Dentistry 2 3%
Business, Management and Accounting 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 3 5%
Unknown 42 66%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 November 2022.
All research outputs
#5,007,768
of 24,831,063 outputs
Outputs from BMC Nursing
#156
of 902 outputs
Outputs of similar age
#99,939
of 423,846 outputs
Outputs of similar age from BMC Nursing
#7
of 48 outputs
Altmetric has tracked 24,831,063 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 902 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 82% 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 423,846 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 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.