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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Consolidating metabolite identifiers to enable contextual and multi-platform metabolomics data analysis
|
|---|---|
| Published in |
BMC Bioinformatics, April 2010
|
| DOI | 10.1186/1471-2105-11-214 |
| Pubmed ID | |
| Authors |
Henning Redestig, Miyako Kusano, Atsushi Fukushima, Fumio Matsuda, Kazuki Saito, Masanori Arita |
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 % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Portugal | 1 | 1% |
| Germany | 1 | 1% |
| Netherlands | 1 | 1% |
| Switzerland | 1 | 1% |
| South Africa | 1 | 1% |
| Sweden | 1 | 1% |
| Unknown | 79 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 34% |
| Student > Ph. D. Student | 15 | 17% |
| Student > Master | 11 | 13% |
| Professor | 6 | 7% |
| Student > Postgraduate | 5 | 6% |
| Other | 17 | 19% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 42% |
| Chemistry | 12 | 14% |
| Biochemistry, Genetics and Molecular Biology | 11 | 13% |
| Computer Science | 10 | 11% |
| Mathematics | 3 | 3% |
| Other | 8 | 9% |
| Unknown | 7 | 8% |
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 June 2021.
All research outputs
#7,488,535
of 24,143,470 outputs
Outputs from BMC Bioinformatics
#2,798
of 7,506 outputs
Outputs of similar age
#33,939
of 98,689 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 71 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,506 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 gotten more attention than average, scoring higher than 60% 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 98,689 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 64% of its contemporaries.
We're also able to compare this research output to 71 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 52% of its contemporaries.