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OSCI: standardized stem cell ontology representation and use cases for stem cell investigation

Overview of attention for article published in BMC Bioinformatics, April 2019
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1 X user

Citations

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5 Dimensions

Readers on

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15 Mendeley
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Title
OSCI: standardized stem cell ontology representation and use cases for stem cell investigation
Published in
BMC Bioinformatics, April 2019
DOI 10.1186/s12859-019-2723-7
Pubmed ID
Authors

Yongqun He, William D. Duncan, Daniel J. Cooper, Jens Hansen, Ravi Iyengar, Edison Ong, Kendal Walker, Omar Tibi, Sam Smith, Lucas M. Serra, Jie Zheng, Sirarat Sarntivijai, Stephan Schürer, K. Sue O’Shea, Alexander D. Diehl

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 33%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Student > Doctoral Student 1 7%
Unknown 5 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 13%
Computer Science 2 13%
Arts and Humanities 1 7%
Philosophy 1 7%
Agricultural and Biological Sciences 1 7%
Other 3 20%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 July 2019.
All research outputs
#18,685,268
of 23,151,828 outputs
Outputs from BMC Bioinformatics
#6,375
of 7,339 outputs
Outputs of similar age
#263,292
of 350,016 outputs
Outputs of similar age from BMC Bioinformatics
#155
of 183 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 350,016 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.