↓ Skip to main content

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

Overview of attention for article published in BMC Bioinformatics, December 2019
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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
65 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
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

Twitter Demographics

The data shown below were collected from the profiles of 2 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 9 14%
Student > Master 8 12%
Student > Bachelor 7 11%
Student > Ph. D. Student 5 8%
Student > Postgraduate 3 5%
Other 11 17%
Unknown 22 34%
Readers by discipline Count As %
Medicine and Dentistry 11 17%
Computer Science 9 14%
Psychology 9 14%
Nursing and Health Professions 4 6%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 5 8%
Unknown 25 38%

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
#2,603,863
of 19,835,187 outputs
Outputs from BMC Bioinformatics
#988
of 6,664 outputs
Outputs of similar age
#78,115
of 413,396 outputs
Outputs of similar age from BMC Bioinformatics
#116
of 576 outputs
Altmetric has tracked 19,835,187 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 6,664 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 85% 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 413,396 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 80% of its contemporaries.
We're also able to compare this research output to 576 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.