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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 (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
52 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

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

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Student > Master 5 10%
Other 4 8%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Other 8 15%
Unknown 19 37%
Readers by discipline Count As %
Computer Science 7 13%
Medicine and Dentistry 5 10%
Nursing and Health Professions 4 8%
Engineering 4 8%
Agricultural and Biological Sciences 2 4%
Other 10 19%
Unknown 20 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 June 2021.
All research outputs
#6,702,452
of 21,357,544 outputs
Outputs from BMC Bioinformatics
#2,715
of 6,926 outputs
Outputs of similar age
#130,304
of 340,022 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 51 outputs
Altmetric has tracked 21,357,544 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 6,926 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 59% 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 340,022 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 61% of its contemporaries.
We're also able to compare this research output to 51 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 66% of its contemporaries.