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Mild cognitive impairment understanding: an empirical study by data-driven approach

Overview of attention for article published in BMC Bioinformatics, 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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
88 Mendeley
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Title
Mild cognitive impairment understanding: an empirical study by data-driven approach
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3057-1
Pubmed ID
Authors

Liyuan Liu, Bingchen Yu, Meng Han, Shanshan Yuan, Na Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 13%
Student > Doctoral Student 9 10%
Student > Bachelor 9 10%
Student > Ph. D. Student 6 7%
Professor 3 3%
Other 16 18%
Unknown 34 39%
Readers by discipline Count As %
Medicine and Dentistry 13 15%
Psychology 9 10%
Computer Science 9 10%
Nursing and Health Professions 4 5%
Unspecified 3 3%
Other 11 13%
Unknown 39 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 29 December 2019.
All research outputs
#3,130,324
of 23,184,056 outputs
Outputs from BMC Bioinformatics
#1,099
of 7,345 outputs
Outputs of similar age
#76,025
of 457,691 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 218 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,345 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 84% 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 457,691 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 83% of its contemporaries.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.