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Determinants of successful guideline implementation: a national cross-sectional survey

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Determinants of successful guideline implementation: a national cross-sectional survey
Published in
BMC Medical Informatics and Decision Making, January 2021
DOI 10.1186/s12911-020-01382-w
Pubmed ID
Authors

Ying-hui Jin, Li-Ming Tan, Khalid S. Khan, Tong Deng, Chao Huang, Fei Han, Jing Zhang, Qiao Huang, Di Huang, Dan-qi Wang, Yu Wang, Xian-tao Zeng, Qiang Wang, Xing-huan Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 10%
Student > Master 5 10%
Student > Bachelor 5 10%
Student > Ph. D. Student 4 8%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 19 39%
Readers by discipline Count As %
Medicine and Dentistry 10 20%
Nursing and Health Professions 4 8%
Business, Management and Accounting 2 4%
Agricultural and Biological Sciences 2 4%
Economics, Econometrics and Finance 2 4%
Other 8 16%
Unknown 21 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 January 2021.
All research outputs
#13,375,643
of 23,274,744 outputs
Outputs from BMC Medical Informatics and Decision Making
#936
of 2,023 outputs
Outputs of similar age
#232,102
of 506,073 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#29
of 68 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,023 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 52% 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 506,073 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 53% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.