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The Coronavirus Network Explorer: mining a large-scale knowledge graph for effects of SARS-CoV-2 on host cell function

Overview of attention for article published in BMC Bioinformatics, May 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
61 Mendeley
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Title
The Coronavirus Network Explorer: mining a large-scale knowledge graph for effects of SARS-CoV-2 on host cell function
Published in
BMC Bioinformatics, May 2021
DOI 10.1186/s12859-021-04148-x
Pubmed ID
Authors

Andreas Krämer, Jean-Noël Billaud, Stuart Tugendreich, Dan Shiffman, Martin Jones, Jeff Green

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 13%
Unspecified 6 10%
Student > Master 6 10%
Other 4 7%
Student > Doctoral Student 4 7%
Other 11 18%
Unknown 22 36%
Readers by discipline Count As %
Unspecified 6 10%
Computer Science 6 10%
Medicine and Dentistry 5 8%
Nursing and Health Professions 4 7%
Engineering 4 7%
Other 13 21%
Unknown 23 38%
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 05 May 2021.
All research outputs
#13,045,234
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#3,691
of 7,388 outputs
Outputs of similar age
#182,905
of 438,986 outputs
Outputs of similar age from BMC Bioinformatics
#106
of 197 outputs
Altmetric has tracked 23,344,526 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 7,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 48th percentile – i.e., 48% 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 438,986 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 57% of its contemporaries.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.