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Identification of most influential co-occurring gene suites for gastrointestinal cancer using biomedical literature mining and graph-based influence maximization

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Identification of most influential co-occurring gene suites for gastrointestinal cancer using biomedical literature mining and graph-based influence maximization
Published in
BMC Medical Informatics and Decision Making, September 2020
DOI 10.1186/s12911-020-01227-6
Pubmed ID
Authors

Charles C. N. Wang, Jennifer Jin, Jan-Gowth Chang, Masahiro Hayakawa, Atsushi Kitazawa, Jeffrey J. P. Tsai, Phillip C.-Y. Sheu

Twitter Demographics

The data shown below were collected from the profiles of 3 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Researcher 5 19%
Student > Ph. D. Student 5 19%
Other 1 4%
Lecturer 1 4%
Other 1 4%
Unknown 8 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 23%
Computer Science 4 15%
Medicine and Dentistry 2 8%
Agricultural and Biological Sciences 2 8%
Business, Management and Accounting 1 4%
Other 5 19%
Unknown 6 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 September 2020.
All research outputs
#11,240,429
of 18,845,910 outputs
Outputs from BMC Medical Informatics and Decision Making
#941
of 1,693 outputs
Outputs of similar age
#163,102
of 310,940 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 6 outputs
Altmetric has tracked 18,845,910 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,693 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 310,940 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.