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Mendeley readers
Attention Score in Context
Title |
Building blocks for automated elucidation of metabolites: Machine learning methods for NMR prediction
|
---|---|
Published in |
BMC Bioinformatics, September 2008
|
DOI | 10.1186/1471-2105-9-400 |
Pubmed ID | |
Authors |
Stefan Kuhn, Björn Egert, Steffen Neumann, Christoph Steinbeck |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 2 | 1% |
Germany | 2 | 1% |
Brazil | 2 | 1% |
Netherlands | 1 | <1% |
Sweden | 1 | <1% |
United Kingdom | 1 | <1% |
Russia | 1 | <1% |
United States | 1 | <1% |
Unknown | 131 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 27 | 19% |
Student > Ph. D. Student | 25 | 18% |
Researcher | 21 | 15% |
Student > Bachelor | 14 | 10% |
Student > Doctoral Student | 6 | 4% |
Other | 17 | 12% |
Unknown | 32 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 33 | 23% |
Agricultural and Biological Sciences | 23 | 16% |
Computer Science | 14 | 10% |
Environmental Science | 10 | 7% |
Engineering | 6 | 4% |
Other | 23 | 16% |
Unknown | 33 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 May 2020.
All research outputs
#7,645,563
of 23,278,709 outputs
Outputs from BMC Bioinformatics
#3,070
of 7,369 outputs
Outputs of similar age
#32,032
of 88,781 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 36 outputs
Altmetric has tracked 23,278,709 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,369 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 50% 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 88,781 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.