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Cross-disciplinary evolution of the genomics revolution

Overview of attention for article published in Science Advances, August 2018
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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 (95th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
5 news outlets
twitter
38 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
27 Mendeley
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.

Twitter Demographics

The data shown below were collected from the profiles of 38 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 30%
Student > Ph. D. Student 7 26%
Student > Master 5 19%
Student > Doctoral Student 1 4%
Other 1 4%
Other 0 0%
Unknown 5 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 15%
Agricultural and Biological Sciences 4 15%
Computer Science 3 11%
Engineering 2 7%
Earth and Planetary Sciences 1 4%
Other 5 19%
Unknown 8 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 55. 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 16 October 2019.
All research outputs
#384,961
of 15,226,692 outputs
Outputs from Science Advances
#1,941
of 4,526 outputs
Outputs of similar age
#13,261
of 275,392 outputs
Outputs of similar age from Science Advances
#114
of 231 outputs
Altmetric has tracked 15,226,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,526 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 117.0. This one has gotten more attention than average, scoring higher than 57% 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 275,392 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 95% of its contemporaries.
We're also able to compare this research output to 231 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 50% of its contemporaries.