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Prioritization of disease microRNAs through a human phenome-microRNAome network

Overview of attention for article published in BMC Systems Biology, May 2010
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About this Attention Score

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

Mentioned by

patent
1 patent

Citations

dimensions_citation
338 Dimensions

Readers on

mendeley
97 Mendeley
citeulike
2 CiteULike
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Title
Prioritization of disease microRNAs through a human phenome-microRNAome network
Published in
BMC Systems Biology, May 2010
DOI 10.1186/1752-0509-4-s1-s2
Pubmed ID
Authors

Qinghua Jiang, Yangyang Hao, Guohua Wang, Liran Juan, Tianjiao Zhang, Mingxiang Teng, Yunlong Liu, Yadong Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Caledonia 1 1%
Brazil 1 1%
United Kingdom 1 1%
Egypt 1 1%
Spain 1 1%
Unknown 92 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Researcher 19 20%
Student > Master 12 12%
Professor > Associate Professor 5 5%
Professor 4 4%
Other 10 10%
Unknown 27 28%
Readers by discipline Count As %
Computer Science 19 20%
Agricultural and Biological Sciences 19 20%
Biochemistry, Genetics and Molecular Biology 15 15%
Medicine and Dentistry 6 6%
Physics and Astronomy 3 3%
Other 4 4%
Unknown 31 32%
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 03 June 2021.
All research outputs
#7,656,056
of 23,308,124 outputs
Outputs from BMC Systems Biology
#315
of 1,143 outputs
Outputs of similar age
#34,491
of 97,065 outputs
Outputs of similar age from BMC Systems Biology
#5
of 21 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,143 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 63% 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 97,065 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.