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Using literature-based discovery to identify candidate genes for the interaction between myocardial infarction and depression

Overview of attention for article published in BMC Medical Genomics, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Using literature-based discovery to identify candidate genes for the interaction between myocardial infarction and depression
Published in
BMC Medical Genomics, June 2019
DOI 10.1186/s12881-019-0841-8
Pubmed ID
Authors

Zhenguo Dai, Qian Li, Guang Yang, Yini Wang, Yang Liu, Zhilei Zheng, Yingfeng Tu, Shuang Yang, Bo Yu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Bachelor 4 17%
Student > Postgraduate 2 9%
Other 1 4%
Librarian 1 4%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Computer Science 4 17%
Nursing and Health Professions 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Agricultural and Biological Sciences 1 4%
Other 2 9%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 April 2022.
All research outputs
#8,538,940
of 25,385,509 outputs
Outputs from BMC Medical Genomics
#638
of 2,444 outputs
Outputs of similar age
#147,044
of 368,349 outputs
Outputs of similar age from BMC Medical Genomics
#24
of 82 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 65% 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 368,349 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.