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Helping parents know when to seek help for an acutely ill child: Evidence based co-development of a mobile phone app using complex intervention methodology

Overview of attention for article published in International Journal of Medical Informatics, April 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
5 Mendeley
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Title
Helping parents know when to seek help for an acutely ill child: Evidence based co-development of a mobile phone app using complex intervention methodology
Published in
International Journal of Medical Informatics, April 2024
DOI 10.1016/j.ijmedinf.2024.105459
Pubmed ID
Authors

Sarah Neill, Natasha Bayes, Matthew Thompson, Caroline Croxson, Damian Roland, Monica Lakhanpaul

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 5 100%
Readers by discipline Count As %
Medicine and Dentistry 5 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 April 2024.
All research outputs
#7,930,695
of 25,774,185 outputs
Outputs from International Journal of Medical Informatics
#616
of 1,894 outputs
Outputs of similar age
#49,203
of 169,435 outputs
Outputs of similar age from International Journal of Medical Informatics
#3
of 12 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,894 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 67% 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 169,435 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.