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Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information

Overview of attention for article published in Diagnostic Pathology, February 2013
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
75 Mendeley
citeulike
1 CiteULike
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Title
Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information
Published in
Diagnostic Pathology, February 2013
DOI 10.1186/1746-1596-8-22
Pubmed ID
Authors

Matloob Khushi, Georgina Edwards, Diego Alonso de Marcos, Jane E Carpenter, J Dinny Graham, Christine L Clarke

Abstract

Virtual microscopy includes digitisation of histology slides and the use of computer technologies for complex investigation of diseases such as cancer. However, automated image analysis, or website publishing of such digital images, is hampered by their large file sizes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Indonesia 1 1%
United Kingdom 1 1%
Singapore 1 1%
United States 1 1%
Unknown 70 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 15%
Student > Master 10 13%
Student > Ph. D. Student 9 12%
Student > Bachelor 7 9%
Student > Doctoral Student 6 8%
Other 18 24%
Unknown 14 19%
Readers by discipline Count As %
Medicine and Dentistry 21 28%
Computer Science 11 15%
Engineering 6 8%
Biochemistry, Genetics and Molecular Biology 5 7%
Agricultural and Biological Sciences 4 5%
Other 13 17%
Unknown 15 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 August 2020.
All research outputs
#14,283,328
of 23,337,345 outputs
Outputs from Diagnostic Pathology
#400
of 1,149 outputs
Outputs of similar age
#170,458
of 290,619 outputs
Outputs of similar age from Diagnostic Pathology
#8
of 30 outputs
Altmetric has tracked 23,337,345 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,149 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 62% 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 290,619 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.