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.
X Demographics
Attention Score in Context
Title |
Miniaturized implantable temperature sensors for the long-term monitoring of chronic intestinal inflammation
|
---|---|
Published in |
Nature Biomedical Engineering, March 2024
|
DOI | 10.1038/s41551-024-01183-w |
Pubmed ID | |
Authors |
Surabhi R. Madhvapathy, Matthew I. Bury, Larry W. Wang, Joanna L. Ciatti, Raudel Avila, Yonggang Huang, Arun K. Sharma, John A. Rogers |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 11% |
China | 1 | 11% |
Singapore | 1 | 11% |
Canada | 1 | 11% |
Unknown | 5 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 67% |
Scientists | 2 | 22% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 116. 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 19 April 2024.
All research outputs
#369,605
of 25,748,735 outputs
Outputs from Nature Biomedical Engineering
#244
of 1,152 outputs
Outputs of similar age
#4,066
of 266,907 outputs
Outputs of similar age from Nature Biomedical Engineering
#2
of 27 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,152 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 85.8. This one has done well, scoring higher than 78% 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 266,907 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 98% of its contemporaries.
We're also able to compare this research output to 27 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 92% of its contemporaries.