↓ Skip to main content

ASBMB

Article Metrics

Graph algorithms for condensing and consolidating gene set analysis results

Overview of attention for article published in Molecular and Cellular Proteomics, May 2019
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
35 tweeters

Readers on

mendeley
3 Mendeley
Title
Graph algorithms for condensing and consolidating gene set analysis results
Published in
Molecular and Cellular Proteomics, May 2019
DOI 10.1074/mcp.tir118.001263
Pubmed ID
Authors

Sara R. Savage, Zhiao Shi, Yuxing Liao, Bing Zhang

Twitter Demographics

The data shown below were collected from the profiles of 35 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 67%
Unspecified 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 June 2019.
All research outputs
#661,410
of 13,184,217 outputs
Outputs from Molecular and Cellular Proteomics
#70
of 2,431 outputs
Outputs of similar age
#19,286
of 211,659 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#4
of 47 outputs
Altmetric has tracked 13,184,217 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,431 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 97% 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 211,659 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.