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X Demographics
Mendeley readers
Attention Score in Context
| Title |
multiMarker: software for modelling and prediction of continuous food intake using multiple biomarkers measurements
|
|---|---|
| Published in |
BMC Bioinformatics, September 2021
|
| DOI | 10.1186/s12859-021-04394-z |
| Pubmed ID | |
| Authors |
Silvia D’Angelo, Isobel Claire Gormley, Aoife E. McNamara, Lorraine Brennan |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 2 | 40% |
| Sweden | 1 | 20% |
| India | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Researcher | 2 | 22% |
| Student > Postgraduate | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Nursing and Health Professions | 1 | 11% |
| Computer Science | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 October 2021.
All research outputs
#14,562,219
of 23,321,213 outputs
Outputs from BMC Bioinformatics
#4,833
of 7,385 outputs
Outputs of similar age
#214,194
of 433,095 outputs
Outputs of similar age from BMC Bioinformatics
#131
of 166 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,385 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 30th percentile – i.e., 30% 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 433,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.