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Computational drug repositioning using meta-path-based semantic network analysis

Overview of attention for article published in BMC Systems Biology, December 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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12 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Computational drug repositioning using meta-path-based semantic network analysis
Published in
BMC Systems Biology, December 2018
DOI 10.1186/s12918-018-0658-7
Pubmed ID
Authors

Zhen Tian, Zhixia Teng, Shuang Cheng, Maozu Guo

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 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 > Ph. D. Student 5 19%
Researcher 3 12%
Other 2 8%
Student > Bachelor 1 4%
Professor 1 4%
Other 4 15%
Unknown 10 38%
Readers by discipline Count As %
Medicine and Dentistry 4 15%
Computer Science 4 15%
Pharmacology, Toxicology and Pharmaceutical Science 3 12%
Agricultural and Biological Sciences 2 8%
Neuroscience 2 8%
Other 1 4%
Unknown 10 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 January 2019.
All research outputs
#18,002,039
of 23,122,481 outputs
Outputs from BMC Systems Biology
#773
of 1,144 outputs
Outputs of similar age
#304,944
of 437,292 outputs
Outputs of similar age from BMC Systems Biology
#29
of 54 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 26th percentile – i.e., 26% 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 437,292 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% 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 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.