The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
IL-1R2-based biomarker models predict melioidosis mortality independent of clinical data
|
---|---|
Published in |
Frontiers in Medicine, June 2023
|
DOI | 10.3389/fmed.2023.1211265 |
Pubmed ID | |
Authors |
Taniya Kaewarpai, Shelton W. Wright, Thatcha Yimthin, Rungnapa Phunpang, Adul Dulsuk, Lara Lovelace-Macon, Guilhem F. Rerolle, Denisse B. Dow, Viriya Hantrakun, Nicholas P. J. Day, Ganjana Lertmemongkolchai, Direk Limmathurotsakul, T. Eoin West, Narisara Chantratita |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 July 2023.
All research outputs
#19,518,769
of 24,001,212 outputs
Outputs from Frontiers in Medicine
#4,477
of 6,370 outputs
Outputs of similar age
#135,515
of 188,146 outputs
Outputs of similar age from Frontiers in Medicine
#90
of 151 outputs
Altmetric has tracked 24,001,212 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,370 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 188,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.