↓ Skip to main content

Cross-disciplinary evolution of the genomics revolution

Overview of attention for article published in Science Advances, August 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
44 X users
facebook
1 Facebook page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
61 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Cross-disciplinary evolution of the genomics revolution
Published in
Science Advances, August 2018
DOI 10.1126/sciadv.aat4211
Pubmed ID
Authors

Alexander M Petersen, Dinesh Majeti, Kyeongan Kwon, Mohammed E Ahmed, Ioannis Pavlidis

Abstract

Born out of the Human Genome Project (HGP), the field of genomics evolved with phenomenal speed into a dominant scientific and business force. While other efforts were intent on estimating the economic impact of the genomics revolution, we shift focus to the social and cultural capital generated by bridging together biology and computing-two of the constitutive disciplines of "genomics". We quantify this capital by measuring the pervasiveness of bio-computing cross-disciplinarity (XD) in genomics research during and after the HGP. To provide interlocking perspectives at the career and epistemic levels, we assembled three data sets to measure XD via (i) the collaboration network between 4190 biology and computing faculty from 155 departments in the United States, (ii) cross-departmental affiliations within a comprehensive set of human genomics publications, and (iii) the application of computational concepts and methods in research published in a preeminent genomics journal. Our results show the following: First, research featuring XD collaborations has higher citation impact than other disciplinary research-an effect observed at both the career and individual article levels. Second, genomics articles featuring XD methods tend to have higher citation impact than epistemically pure articles. Third, XD researchers of computing pedigree are drawn to the biology culture. This statistical evidence acquires deeper meaning when viewed against the organizational and knowledge transfer mechanisms revealed by the data models. With cross-disciplinary initiatives set to dominate the agenda of funding agencies, our case study provides a framework for appreciating the long-term effects of these initiatives on science and its standard-bearers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 15 25%
Student > Master 8 13%
Student > Ph. D. Student 6 10%
Unspecified 4 7%
Student > Doctoral Student 2 3%
Other 7 11%
Unknown 19 31%
Readers by discipline Count As %
Social Sciences 8 13%
Computer Science 7 11%
Agricultural and Biological Sciences 5 8%
Unspecified 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 12 20%
Unknown 22 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 88. 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 10 July 2022.
All research outputs
#504,847
of 26,146,017 outputs
Outputs from Science Advances
#3,613
of 12,826 outputs
Outputs of similar age
#10,490
of 343,959 outputs
Outputs of similar age from Science Advances
#88
of 230 outputs
Altmetric has tracked 26,146,017 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,826 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 118.8. This one has gotten more attention than average, scoring higher than 71% 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 343,959 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 96% of its contemporaries.
We're also able to compare this research output to 230 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 61% of its contemporaries.