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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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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Readers on

mendeley
43 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

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

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 35%
Other 7 16%
Student > Master 5 12%
Researcher 5 12%
Lecturer 1 2%
Other 2 5%
Unknown 8 19%
Readers by discipline Count As %
Nursing and Health Professions 15 35%
Biochemistry, Genetics and Molecular Biology 6 14%
Computer Science 5 12%
Medicine and Dentistry 2 5%
Agricultural and Biological Sciences 2 5%
Other 6 14%
Unknown 7 16%
Attention Score in Context

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
#14,210,871
of 23,234,261 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,088
of 2,022 outputs
Outputs of similar age
#214,261
of 399,642 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#31
of 54 outputs
Altmetric has tracked 23,234,261 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 44th percentile – i.e., 44% 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 399,642 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.