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LAMP: disease classification derived from layered assessment on modules and pathways in the human gene network

Overview of attention for article published in BMC Bioinformatics, October 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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5 X users

Citations

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2 Dimensions

Readers on

mendeley
11 Mendeley
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Title
LAMP: disease classification derived from layered assessment on modules and pathways in the human gene network
Published in
BMC Bioinformatics, October 2020
DOI 10.1186/s12859-020-03800-2
Pubmed ID
Authors

Zhilong Mi, Binghui Guo, Xiaobo Yang, Ziqiao Yin, Zhiming Zheng

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Bachelor 1 9%
Other 1 9%
Student > Master 1 9%
Student > Ph. D. Student 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Arts and Humanities 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Computer Science 1 9%
Social Sciences 1 9%
Medicine and Dentistry 1 9%
Other 0 0%
Unknown 6 55%
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 02 November 2020.
All research outputs
#14,518,338
of 23,257,423 outputs
Outputs from BMC Bioinformatics
#4,802
of 7,362 outputs
Outputs of similar age
#229,635
of 420,837 outputs
Outputs of similar age from BMC Bioinformatics
#131
of 188 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,362 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 30th percentile – i.e., 30% 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 420,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.