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Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@)

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2019
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
23 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
191 Mendeley
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Title
Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@)
Published in
BMC Medical Informatics and Decision Making, December 2019
DOI 10.1186/s12911-019-0972-z
Pubmed ID
Authors

J. F. Avila-Tomas, E. Olano-Espinosa, C. Minué-Lorenzo, F. J. Martinez-Suberbiola, B. Matilla-Pardo, M. E. Serrano-Serrano, E. Escortell-Mayor

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 191 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 15%
Researcher 20 10%
Student > Bachelor 16 8%
Other 15 8%
Student > Ph. D. Student 14 7%
Other 33 17%
Unknown 65 34%
Readers by discipline Count As %
Medicine and Dentistry 32 17%
Nursing and Health Professions 26 14%
Computer Science 14 7%
Psychology 12 6%
Business, Management and Accounting 6 3%
Other 22 12%
Unknown 79 41%
Attention Score in Context

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 15 January 2022.
All research outputs
#2,124,426
of 24,241,559 outputs
Outputs from BMC Medical Informatics and Decision Making
#124
of 2,066 outputs
Outputs of similar age
#50,837
of 466,379 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 73 outputs
Altmetric has tracked 24,241,559 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 2,066 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 94% 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 466,379 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 89% of its contemporaries.
We're also able to compare this research output to 73 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.