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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A data management infrastructure for the integration of imaging and omics data in life sciences
|
|---|---|
| Published in |
BMC Bioinformatics, February 2022
|
| DOI | 10.1186/s12859-022-04584-3 |
| Pubmed ID | |
| Authors |
Luis Kuhn Cuellar, Andreas Friedrich, Gisela Gabernet, Luis de la Garza, Sven Fillinger, Adrian Seyboldt, Tobias Koch, Sven zur Oven-Krockhaus, Friederike Wanke, Sandra Richter, Wolfgang M. Thaiss, Marius Horger, Nisar Malek, Klaus Harter, Michael Bitzer, Sven Nahnsen |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 23% |
| United Kingdom | 2 | 9% |
| Spain | 1 | 5% |
| Australia | 1 | 5% |
| Sweden | 1 | 5% |
| India | 1 | 5% |
| Unknown | 11 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 59% |
| Scientists | 8 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 19% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 6 | 10% |
| Other | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 14% |
| Agricultural and Biological Sciences | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Medicine and Dentistry | 3 | 5% |
| Social Sciences | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 20 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 17 March 2022.
All research outputs
#3,215,578
of 24,903,209 outputs
Outputs from BMC Bioinformatics
#1,035
of 7,606 outputs
Outputs of similar age
#77,261
of 516,235 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 120 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,606 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 86% 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 516,235 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 85% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.