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CLO: The cell line ontology

Overview of attention for article published in Journal of Biomedical Semantics, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

2 tweeters
1 Wikipedia page
1 Google+ user


81 Dimensions

Readers on

66 Mendeley
3 CiteULike
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CLO: The cell line ontology
Published in
Journal of Biomedical Semantics, January 2014
DOI 10.1186/2041-1480-5-37
Pubmed ID

Sirarat Sarntivijai, Yu Lin, Zuoshuang Xiang, Terrence F Meehan, Alexander D Diehl, Uma D Vempati, Stephan C Schürer, Chao Pang, James Malone, Helen Parkinson, Yue Liu, Terue Takatsuki, Kaoru Saijo, Hiroshi Masuya, Yukio Nakamura, Matthew H Brush, Melissa A Haendel, Jie Zheng, Christian J Stoeckert, Bjoern Peters, Christopher J Mungall, Thomas E Carey, David J States, Brian D Athey, Yongqun He


Cell lines have been widely used in biomedical research. The community-based Cell Line Ontology (CLO) is a member of the OBO Foundry library that covers the domain of cell lines. Since its publication two years ago, significant updates have been made, including new groups joining the CLO consortium, new cell line cells, upper level alignment with the Cell Ontology (CL) and the Ontology for Biomedical Investigation, and logical extensions. Collaboration among the CLO, CL, and OBI has established consensus definitions of cell line-specific terms such as 'cell line', 'cell line cell', 'cell line culturing', and 'mortal' vs. 'immortal cell line cell'. A cell line is a genetically stable cultured cell population that contains individual cell line cells. The hierarchical structure of the CLO is built based on the hierarchy of the in vivo cell types defined in CL and tissue types (from which cell line cells are derived) defined in the UBERON cross-species anatomy ontology. The new hierarchical structure makes it easier to browse, query, and perform automated classification. We have recently added classes representing more than 2,000 cell line cells from the RIKEN BRC Cell Bank to CLO. Overall, the CLO now contains ~38,000 classes of specific cell line cells derived from over 200 in vivo cell types from various organisms. The CLO has been applied to different biomedical research studies. Example case studies include annotation and analysis of EBI ArrayExpress data, bioassays, and host-vaccine/pathogen interaction. CLO's utility goes beyond a catalogue of cell line types. The alignment of the CLO with related ontologies combined with the use of ontological reasoners will support sophisticated inferencing to advance translational informatics development.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Brazil 1 2%
Ukraine 1 2%
Spain 1 2%
Japan 1 2%
United States 1 2%
Unknown 60 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 24%
Student > Ph. D. Student 10 15%
Other 9 14%
Student > Bachelor 7 11%
Student > Postgraduate 4 6%
Other 11 17%
Unknown 9 14%
Readers by discipline Count As %
Computer Science 17 26%
Agricultural and Biological Sciences 14 21%
Biochemistry, Genetics and Molecular Biology 13 20%
Chemistry 3 5%
Economics, Econometrics and Finance 2 3%
Other 7 11%
Unknown 10 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 February 2020.
All research outputs
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Outputs from Journal of Biomedical Semantics
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Outputs of similar age
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Outputs of similar age from Journal of Biomedical Semantics
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Altmetric has tracked 16,882,949 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 351 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 70% 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 269,219 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them