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Mendeley readers
Attention Score in Context
Title |
Novel biomarker combination improves the diagnosis of serious bacterial infections in Malawian children
|
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Published in |
BMC Medical Genomics, May 2012
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DOI | 10.1186/1755-8794-5-13 |
Pubmed ID | |
Authors |
Adam D Irwin, Fiona Marriage, Limangeni A Mankhambo, IPD Study Group, Graham Jeffers, Ruwanthi Kolamunnage-Dona, Malcolm Guiver, Brigitte Denis, Elizabeth M Molyneux, Malcolm E Molyneux, Philip J Day, Enitan D Carrol |
Abstract |
High throughput technologies offer insight into disease processes and heightens opportunities for improved diagnostics. Using transcriptomic analyses, we aimed to discover and to evaluate the clinical validity of a combination of reliable and functionally important biomarkers of serious bacterial infection (SBI). |
X Demographics
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 24% |
Student > Master | 5 | 13% |
Student > Doctoral Student | 5 | 13% |
Professor | 4 | 11% |
Student > Ph. D. Student | 3 | 8% |
Other | 6 | 16% |
Unknown | 6 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 42% |
Agricultural and Biological Sciences | 6 | 16% |
Immunology and Microbiology | 5 | 13% |
Mathematics | 1 | 3% |
Computer Science | 1 | 3% |
Other | 3 | 8% |
Unknown | 6 | 16% |
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 15 December 2022.
All research outputs
#6,597,916
of 23,341,064 outputs
Outputs from BMC Medical Genomics
#300
of 1,253 outputs
Outputs of similar age
#45,079
of 164,887 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 16 outputs
Altmetric has tracked 23,341,064 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,253 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 74% 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 164,887 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 70% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.