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An ontology for representing hematologic malignancies: the cancer cell ontology

Overview of attention for article published in BMC Bioinformatics, April 2019
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
19 Mendeley
Summary Twitter Dimensions citations
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Title
An ontology for representing hematologic malignancies: the cancer cell ontology
Published in
BMC Bioinformatics, April 2019
DOI 10.1186/s12859-019-2722-8
Pubmed ID
31272372
Authors

Lucas M. Serra, William D. Duncan, Alexander D. Diehl

View on publisher site

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 16%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Other 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 10 53%
Readers by discipline Count As %
Medicine and Dentistry 3 16%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Computer Science 1 5%
Agricultural and Biological Sciences 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 11 58%

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 25 October 2020.
All research outputs
#20,658,463
of 23,253,955 outputs
Outputs from BMC Bioinformatics
#6,937
of 7,362 outputs
Outputs of similar age
#299,985
of 350,380 outputs
Outputs of similar age from BMC Bioinformatics
#175
of 183 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,362 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 1st percentile – i.e., 1% 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 350,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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