↓ Skip to main content

Michigan Publishing

Discovering and linking public omics data sets using the Omics Discovery Index

Overview of attention for article published in Nature Biotechnology, May 2017
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 (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
179 X users
facebook
2 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
160 Dimensions

Readers on

mendeley
206 Mendeley
citeulike
4 CiteULike
Title
Discovering and linking public omics data sets using the Omics Discovery Index
Published in
Nature Biotechnology, May 2017
DOI 10.1038/nbt.3790
Pubmed ID
Authors

Yasset Perez-Riverol, Mingze Bai, Felipe da Veiga Leprevost, Silvano Squizzato, Young Mi Park, Kenneth Haug, Adam J Carroll, Dylan Spalding, Justin Paschall, Mingxun Wang, Noemi del-Toro, Tobias Ternent, Peng Zhang, Nicola Buso, Nuno Bandeira, Eric W Deutsch, David S Campbell, Ronald C Beavis, Reza M Salek, Ugis Sarkans, Robert Petryszak, Maria Keays, Eoin Fahy, Manish Sud, Shankar Subramaniam, Ariana Barbera, Rafael C Jiménez, Alexey I Nesvizhskii, Susanna-Assunta Sansone, Christoph Steinbeck, Rodrigo Lopez, Juan A Vizcaíno, Peipei Ping, Henning Hermjakob

X Demographics

X Demographics

The data shown below were collected from the profiles of 179 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 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Hungary 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
China 1 <1%
Unknown 200 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 57 28%
Student > Ph. D. Student 40 19%
Other 18 9%
Student > Master 15 7%
Professor > Associate Professor 12 6%
Other 34 17%
Unknown 30 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 58 28%
Agricultural and Biological Sciences 46 22%
Computer Science 22 11%
Medicine and Dentistry 15 7%
Engineering 8 4%
Other 23 11%
Unknown 34 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 110. 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 21 June 2020.
All research outputs
#386,748
of 25,837,817 outputs
Outputs from Nature Biotechnology
#878
of 8,611 outputs
Outputs of similar age
#7,933
of 327,052 outputs
Outputs of similar age from Nature Biotechnology
#25
of 91 outputs
Altmetric has tracked 25,837,817 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 8,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.6. This one has done well, scoring higher than 89% 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 327,052 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 97% of its contemporaries.
We're also able to compare this research output to 91 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 72% of its contemporaries.