↓ Skip to main content

Theory of sampling and its application in tissue based diagnosis

Overview of attention for article published in Diagnostic Pathology, January 2009
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

1 patent


38 Dimensions

Readers on

31 Mendeley
1 CiteULike
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Theory of sampling and its application in tissue based diagnosis
Published in
Diagnostic Pathology, January 2009
DOI 10.1186/1746-1596-4-6
Pubmed ID

Klaus Kayser, Holger Schultz, Torsten Goldmann, Jürgen Görtler, Gian Kayser, Ekkehard Vollmer

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Spain 1 3%
United States 1 3%
Colombia 1 3%
Unknown 27 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Ph. D. Student 5 16%
Professor 4 13%
Student > Bachelor 4 13%
Other 3 10%
Other 8 26%
Unknown 2 6%
Readers by discipline Count As %
Medicine and Dentistry 10 32%
Agricultural and Biological Sciences 5 16%
Computer Science 4 13%
Business, Management and Accounting 3 10%
Psychology 1 3%
Other 4 13%
Unknown 4 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 December 2016.
All research outputs
of 14,779,822 outputs
Outputs from Diagnostic Pathology
of 888 outputs
Outputs of similar age
of 133,617 outputs
Outputs of similar age from Diagnostic Pathology
of 1 outputs
Altmetric has tracked 14,779,822 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 888 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 80% 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 133,617 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 61% of its contemporaries.
We're also able to compare this research output to 1 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