↓ Skip to main content

Electronic clinical decision support tool for assessing stomach symptoms in primary care (ECASS): a feasibility study

Overview of attention for article published in BMJ Open, March 2021
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
26 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Electronic clinical decision support tool for assessing stomach symptoms in primary care (ECASS): a feasibility study
Published in
BMJ Open, March 2021
DOI 10.1136/bmjopen-2020-041795
Pubmed ID
Authors

Greg Rubin, Fiona M Walter, Jon Emery, Willie Hamilton, Zoe Hoare, Jenny Howse, Catherine Nixon, Tushar Srivastava, Chloe Thomas, Obioha C Ukoumunne, Juliet A Usher-Smith, Sophie Whyte, Richard D Neal

Twitter Demographics

The data shown below were collected from the profiles of 26 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Bachelor 3 13%
Librarian 2 9%
Student > Ph. D. Student 2 9%
Lecturer > Senior Lecturer 1 4%
Other 3 13%
Unknown 8 35%
Readers by discipline Count As %
Medicine and Dentistry 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Nursing and Health Professions 2 9%
Mathematics 1 4%
Business, Management and Accounting 1 4%
Other 2 9%
Unknown 12 52%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 02 April 2021.
All research outputs
#1,709,251
of 20,635,560 outputs
Outputs from BMJ Open
#3,539
of 19,731 outputs
Outputs of similar age
#44,100
of 325,650 outputs
Outputs of similar age from BMJ Open
#111
of 724 outputs
Altmetric has tracked 20,635,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,731 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. 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 325,650 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 86% of its contemporaries.
We're also able to compare this research output to 724 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.