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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Linking hypothetical knowledge patterns to disease molecular signatures for biomarker discovery in Alzheimer’s disease
|
|---|---|
| Published in |
Genome Medicine, December 2014
|
| DOI | 10.1186/s13073-014-0097-z |
| Pubmed ID | |
| Authors |
Ashutosh Malhotra, Erfan Younesi, Shweta Bagewadi, Martin Hofmann-Apitius |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Canada | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Germany | 1 | 4% |
| Luxembourg | 1 | 4% |
| Unknown | 21 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 46% |
| Student > Ph. D. Student | 5 | 21% |
| Student > Bachelor | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Postgraduate | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 29% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Medicine and Dentistry | 3 | 13% |
| Agricultural and Biological Sciences | 3 | 13% |
| Nursing and Health Professions | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 5 | 21% |
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 20 November 2022.
All research outputs
#15,048,038
of 23,151,189 outputs
Outputs from Genome Medicine
#1,305
of 1,451 outputs
Outputs of similar age
#205,030
of 362,879 outputs
Outputs of similar age from Genome Medicine
#62
of 69 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 8th percentile – i.e., 8% 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 362,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.