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Using Systemised Nomenclature of Medicine (SNOMED) codes to select digital pathology whole slide images for long-term archiving

Overview of attention for article published in Journal of Clinical Pathology, September 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
9 tweeters

Readers on

mendeley
3 Mendeley
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Title
Using Systemised Nomenclature of Medicine (SNOMED) codes to select digital pathology whole slide images for long-term archiving
Published in
Journal of Clinical Pathology, September 2022
DOI 10.1136/jcp-2022-208483
Pubmed ID
Authors

Mahmoud Ali, Harriet Evans, Peter Whitney, Fayyaz Minhas, David R J Snead

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 67%
Student > Postgraduate 1 33%
Readers by discipline Count As %
Medicine and Dentistry 3 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 May 2023.
All research outputs
#4,775,038
of 23,656,895 outputs
Outputs from Journal of Clinical Pathology
#510
of 3,967 outputs
Outputs of similar age
#99,039
of 434,299 outputs
Outputs of similar age from Journal of Clinical Pathology
#2
of 24 outputs
Altmetric has tracked 23,656,895 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,967 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 87% 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 434,299 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.