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Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study

Overview of attention for article published in BJGP Open, June 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 111)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
9 news outlets
twitter
15 tweeters
facebook
2 Facebook pages

Readers on

mendeley
7 Mendeley
Title
Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study
Published in
BJGP Open, June 2018
DOI 10.3399/bjgpopen18x101589
Authors

Emmanuel A Jammeh, Camille, B Carroll, Stephen, W Pearson, Javier Escudero, Athanasios Anastasiou, Peng Zhao, Todd Chenore, John Zajicek, Emmanuel Ifeachor

Twitter Demographics

The data shown below were collected from the profiles of 15 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Lecturer 1 14%
Other 1 14%
Researcher 1 14%
Professor > Associate Professor 1 14%
Other 1 14%
Readers by discipline Count As %
Unspecified 3 43%
Medicine and Dentistry 2 29%
Psychology 1 14%
Computer Science 1 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 76. 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 27 October 2018.
All research outputs
#182,220
of 12,196,947 outputs
Outputs from BJGP Open
#2
of 111 outputs
Outputs of similar age
#8,953
of 255,165 outputs
Outputs of similar age from BJGP Open
#1
of 15 outputs
Altmetric has tracked 12,196,947 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 111 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 98% 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 255,165 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 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.