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An ontology for cell types

Overview of attention for article published in Genome Biology, January 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
340 Dimensions

Readers on

mendeley
220 Mendeley
citeulike
12 CiteULike
connotea
4 Connotea
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Title
An ontology for cell types
Published in
Genome Biology, January 2005
DOI 10.1186/gb-2005-6-2-r21
Pubmed ID
Authors

Jonathan Bard, Seung Y Rhee, Michael Ashburner

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 5%
United Kingdom 5 2%
Germany 4 2%
Brazil 2 <1%
Portugal 2 <1%
Japan 2 <1%
Belgium 2 <1%
Taiwan 1 <1%
Canada 1 <1%
Other 5 2%
Unknown 184 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 65 30%
Student > Ph. D. Student 46 21%
Student > Bachelor 15 7%
Professor 13 6%
Other 13 6%
Other 35 16%
Unknown 33 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 37%
Computer Science 45 20%
Biochemistry, Genetics and Molecular Biology 20 9%
Engineering 9 4%
Medicine and Dentistry 8 4%
Other 17 8%
Unknown 39 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 09 October 2023.
All research outputs
#2,847,136
of 25,374,917 outputs
Outputs from Genome Biology
#2,190
of 4,467 outputs
Outputs of similar age
#7,537
of 153,428 outputs
Outputs of similar age from Genome Biology
#9
of 29 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 50% 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 153,428 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 95% of its contemporaries.
We're also able to compare this research output to 29 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 68% of its contemporaries.