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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of a prognostic signature for old-age mortality by integrating genome-wide transcriptomic data with the conventional predictors: the Vitality 90+ Study
|
|---|---|
| Published in |
BMC Medical Genomics, September 2014
|
| DOI | 10.1186/1755-8794-7-54 |
| Pubmed ID | |
| Authors |
Juulia Jylhävä, Jani Raitanen, Saara Marttila, Antti Hervonen, Marja Jylhä, Mikko Hurme |
| Abstract |
Prediction models for old-age mortality have generally relied upon conventional markers such as plasma-based factors and biophysiological characteristics. However, it is unknown whether the existing markers are able to provide the most relevant information in terms of old-age survival or whether predictions could be improved through the integration of whole-genome expression profiles. |
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 % |
|---|---|---|
| Unknown | 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Germany | 1 | 2% |
| Ireland | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 41 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 24% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Bachelor | 5 | 11% |
| Other | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 31% |
| Agricultural and Biological Sciences | 7 | 16% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Nursing and Health Professions | 2 | 4% |
| Sports and Recreations | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 10 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 30 January 2020.
All research outputs
#4,166,149
of 22,763,032 outputs
Outputs from BMC Medical Genomics
#196
of 1,222 outputs
Outputs of similar age
#43,681
of 238,988 outputs
Outputs of similar age from BMC Medical Genomics
#4
of 15 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,222 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 83% 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 238,988 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.