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X Demographics
Mendeley readers
Attention Score in Context
| Title |
openBIS: a flexible framework for managing and analyzing complex data in biology research
|
|---|---|
| Published in |
BMC Bioinformatics, December 2011
|
| DOI | 10.1186/1471-2105-12-468 |
| Pubmed ID | |
| Authors |
Angela Bauch, Izabela Adamczyk, Piotr Buczek, Franz-Josef Elmer, Kaloyan Enimanev, Pawel Glyzewski, Manuel Kohler, Tomasz Pylak, Andreas Quandt, Chandrasekhar Ramakrishnan, Christian Beisel, Lars Malmström, Ruedi Aebersold, Bernd Rinn |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| United Kingdom | 2 | 29% |
| Germany | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Germany | 4 | 2% |
| Netherlands | 4 | 2% |
| Switzerland | 3 | 1% |
| Brazil | 2 | <1% |
| Luxembourg | 2 | <1% |
| United Kingdom | 2 | <1% |
| Australia | 1 | <1% |
| France | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 213 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 82 | 34% |
| Student > Ph. D. Student | 52 | 21% |
| Student > Master | 25 | 10% |
| Other | 13 | 5% |
| Student > Bachelor | 12 | 5% |
| Other | 40 | 16% |
| Unknown | 20 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 81 | 33% |
| Computer Science | 43 | 18% |
| Biochemistry, Genetics and Molecular Biology | 34 | 14% |
| Medicine and Dentistry | 10 | 4% |
| Engineering | 7 | 3% |
| Other | 38 | 16% |
| Unknown | 31 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 May 2023.
All research outputs
#1,403,585
of 25,998,826 outputs
Outputs from BMC Bioinformatics
#170
of 7,793 outputs
Outputs of similar age
#8,741
of 253,188 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 105 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 97% 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 253,188 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.