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Natural language processing for the automated detection of intra-operative elements in lumbar spine surgery

Overview of attention for article published in Frontiers in Surgery, December 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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Title
Natural language processing for the automated detection of intra-operative elements in lumbar spine surgery
Published in
Frontiers in Surgery, December 2023
DOI 10.3389/fsurg.2023.1271775
Pubmed ID
Authors

Sayan Biswas, Lareyna McMenemy, Ved Sarkar, Joshua MacArthur, Ella Snowdon, Callum Tetlow, K. Joshi George

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Attention Score in Context

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 29 December 2023.
All research outputs
#14,453,545
of 25,249,294 outputs
Outputs from Frontiers in Surgery
#385
of 3,900 outputs
Outputs of similar age
#103,823
of 293,615 outputs
Outputs of similar age from Frontiers in Surgery
#4
of 131 outputs
Altmetric has tracked 25,249,294 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,900 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 89% 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 293,615 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 64% of its contemporaries.
We're also able to compare this research output to 131 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 97% of its contemporaries.