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3D Printed Organ Models for Surgical Applications

Overview of attention for article published in Annual Review of Analytical Chemistry, June 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 139)
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
57 Mendeley
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Title
3D Printed Organ Models for Surgical Applications
Published in
Annual Review of Analytical Chemistry, June 2018
DOI 10.1146/annurev-anchem-061417-125935
Pubmed ID
Authors

Kaiyan Qiu, Ghazaleh Haghiashtiani, Michael C. McAlpine

Abstract

Medical errors are a major concern in clinical practice, suggesting the need for advanced surgical aids for preoperative planning and rehearsal. Conventionally, CT and MRI scans, as well as 3D visualization techniques, have been utilized as the primary tools for surgical planning. While effective, it would be useful if additional aids could be developed and utilized in particularly complex procedures involving unusual anatomical abnormalities that could benefit from tangible objects providing spatial sense, anatomical accuracy, and tactile feedback. Recent advancements in 3D printing technologies have facilitated the creation of patient-specific organ models with the purpose of providing an effective solution for preoperative planning, rehearsal, and spatiotemporal mapping. Here, we review the state-of-the-art in 3D printed, patient-specific organ models with an emphasis on 3D printing material systems, integrated functionalities, and their corresponding surgical applications and implications. Prior limitations, current progress, and future perspectives in this important area are also broadly discussed. Expected final online publication date for the Annual Review of Analytical Chemistry Volume 11 is June 12, 2018. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Researcher 7 12%
Student > Bachelor 7 12%
Student > Master 5 9%
Unspecified 3 5%
Other 9 16%
Unknown 14 25%
Readers by discipline Count As %
Engineering 16 28%
Medicine and Dentistry 7 12%
Materials Science 5 9%
Unspecified 3 5%
Chemistry 2 4%
Other 5 9%
Unknown 19 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 02 July 2019.
All research outputs
#419,874
of 14,072,211 outputs
Outputs from Annual Review of Analytical Chemistry
#1
of 139 outputs
Outputs of similar age
#16,578
of 276,167 outputs
Outputs of similar age from Annual Review of Analytical Chemistry
#1
of 1 outputs
Altmetric has tracked 14,072,211 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 139 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 99% 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 276,167 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 93% 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