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PanoromiX: a time-course network medicine platform integrating molecular assays and pathophenotypic data

Overview of attention for article published in BMC Bioinformatics, November 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Readers on

mendeley
12 Mendeley
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Title
PanoromiX: a time-course network medicine platform integrating molecular assays and pathophenotypic data
Published in
BMC Bioinformatics, November 2018
DOI 10.1186/s12859-018-2494-6
Pubmed ID
Authors

Ruoting Yang, Daniel Watson, Joshua Williams, Raina Kumar, Ross Campbell, Uma Mudunuri, Rasha Hammamieh, Marti Jett

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 58%
Student > Ph. D. Student 2 17%
Professor > Associate Professor 1 8%
Student > Master 1 8%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 33%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Mathematics 1 8%
Immunology and Microbiology 1 8%
Psychology 1 8%
Other 2 17%
Unknown 2 17%
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 01 December 2018.
All research outputs
#15,025,752
of 23,116,036 outputs
Outputs from BMC Bioinformatics
#5,083
of 7,330 outputs
Outputs of similar age
#251,429
of 437,974 outputs
Outputs of similar age from BMC Bioinformatics
#127
of 190 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,330 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 437,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.