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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Empowering individual trait prediction using interactions for precision medicine
|
|---|---|
| Published in |
BMC Bioinformatics, February 2021
|
| DOI | 10.1186/s12859-021-04011-z |
| Authors |
Damian Gola, Inke R. König |
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 States | 1 | 20% |
| India | 1 | 20% |
| Sweden | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 20% |
| Student > Master | 4 | 11% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Professor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 12 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 20% |
| Computer Science | 5 | 14% |
| Engineering | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 14 | 40% |
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 23 February 2021.
All research outputs
#14,252,993
of 23,283,373 outputs
Outputs from BMC Bioinformatics
#4,563
of 7,370 outputs
Outputs of similar age
#222,097
of 420,296 outputs
Outputs of similar age from BMC Bioinformatics
#113
of 150 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,370 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 34th percentile – i.e., 34% 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 420,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.