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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a classification scheme for disease-related enzyme information
|
|---|---|
| Published in |
BMC Bioinformatics, August 2011
|
| DOI | 10.1186/1471-2105-12-329 |
| Pubmed ID | |
| Authors |
Carola Söhngen, Antje Chang, Dietmar Schomburg |
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 % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 5% |
| Germany | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 40 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 18% |
| Researcher | 6 | 14% |
| Student > Bachelor | 5 | 11% |
| Professor | 5 | 11% |
| Student > Master | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 23% |
| Agricultural and Biological Sciences | 7 | 16% |
| Medicine and Dentistry | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 14 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 12 August 2011.
All research outputs
#3,257,167
of 23,292,144 outputs
Outputs from BMC Bioinformatics
#1,173
of 7,377 outputs
Outputs of similar age
#16,606
of 121,922 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 74 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,377 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 done well, scoring higher than 84% 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 121,922 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 86% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.