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Mendeley readers
Attention Score in Context
| Title |
Heat transfer model for deep tissue injury: a step towards an early thermographic diagnostic capability
|
|---|---|
| Published in |
Diagnostic Pathology, February 2014
|
| DOI | 10.1186/1746-1596-9-36 |
| Pubmed ID | |
| Authors |
Akanksha Bhargava, Arjun Chanmugam, Cila Herman |
| Abstract |
Deep tissue injury (DTI) is a class of serious lesions which develop in the deep tissue layers as a result of sustained tissue loading or pressure-induced ischemic injury. DTI lesions often do not become visible on the skin surface until the injury reaches an advanced stage, making their early detection a challenging task. |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 97 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 17% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Bachelor | 9 | 9% |
| Professor > Associate Professor | 8 | 8% |
| Other | 8 | 8% |
| Other | 26 | 26% |
| Unknown | 19 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 19% |
| Engineering | 18 | 18% |
| Nursing and Health Professions | 13 | 13% |
| Sports and Recreations | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 16 | 16% |
| Unknown | 23 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 April 2023.
All research outputs
#7,206,508
of 23,509,253 outputs
Outputs from Diagnostic Pathology
#196
of 1,153 outputs
Outputs of similar age
#68,559
of 225,571 outputs
Outputs of similar age from Diagnostic Pathology
#8
of 51 outputs
Altmetric has tracked 23,509,253 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,153 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 81% 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 225,571 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 68% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.