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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium
|
|---|---|
| Published in |
BMC Bioinformatics, April 2019
|
| DOI | 10.1186/s12859-019-2748-y |
| Pubmed ID | |
| Authors |
Wei Gu, Reha Yildirimman, Emmanuel Van der Stuyft, Denny Verbeeck, Sascha Herzinger, Venkata Satagopam, Adriano Barbosa-Silva, Reinhard Schneider, Bodo Lange, Hans Lehrach, Yike Guo, David Henderson, Anthony Rowe |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| Belgium | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 26% |
| Student > Ph. D. Student | 8 | 19% |
| Student > Master | 5 | 12% |
| Student > Postgraduate | 2 | 5% |
| Unspecified | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 28% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Agricultural and Biological Sciences | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Social Sciences | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 14 | 33% |
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 11 April 2019.
All research outputs
#7,340,260
of 23,140,503 outputs
Outputs from BMC Bioinformatics
#2,895
of 7,339 outputs
Outputs of similar age
#136,587
of 351,673 outputs
Outputs of similar age from BMC Bioinformatics
#61
of 166 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 58% 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 351,673 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 60% of its contemporaries.
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 has gotten more attention than average, scoring higher than 62% of its contemporaries.