↓ Skip to main content

Michigan Publishing

Article Metrics

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 (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
205 tweeters
facebook
2 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
98 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

Twitter Demographics

The data shown below were collected from the profiles of 205 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Switzerland 1 1%
India 1 1%
Brazil 1 1%
China 1 1%
Hungary 1 1%
Unknown 91 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 34%
Student > Ph. D. Student 18 18%
Other 9 9%
Unspecified 8 8%
Student > Master 6 6%
Other 24 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 34%
Biochemistry, Genetics and Molecular Biology 29 30%
Computer Science 14 14%
Medicine and Dentistry 8 8%
Unspecified 7 7%
Other 7 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 127. 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 03 October 2018.
All research outputs
#95,441
of 12,032,210 outputs
Outputs from Nature Biotechnology
#230
of 6,305 outputs
Outputs of similar age
#5,035
of 268,183 outputs
Outputs of similar age from Nature Biotechnology
#21
of 94 outputs
Altmetric has tracked 12,032,210 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,305 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one has done particularly well, scoring higher than 96% 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 268,183 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 98% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.