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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-254 |
| Pubmed ID | |
| Authors |
Lionel Blanchet, Agnieszka Smolinska, Amos Attali, Marcel P Stoop, Kirsten AM Ampt, Hans van Aken, Ernst Suidgeest, Tinka Tuinstra, Sybren S Wijmenga, Theo Luider, Lutgarde MC Buydens |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Spain | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Austria | 2 | 2% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Portugal | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Brazil | 1 | <1% |
| Pakistan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 93 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 33% |
| Student > Ph. D. Student | 24 | 22% |
| Professor > Associate Professor | 8 | 7% |
| Professor | 7 | 6% |
| Student > Bachelor | 7 | 6% |
| Other | 19 | 18% |
| Unknown | 7 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 27% |
| Biochemistry, Genetics and Molecular Biology | 19 | 18% |
| Chemistry | 15 | 14% |
| Medicine and Dentistry | 14 | 13% |
| Computer Science | 9 | 8% |
| Other | 12 | 11% |
| Unknown | 10 | 9% |
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 03 March 2022.
All research outputs
#6,560,837
of 23,243,271 outputs
Outputs from BMC Bioinformatics
#2,515
of 7,360 outputs
Outputs of similar age
#35,921
of 116,068 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 104 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,360 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 64% 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 116,068 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 67% of its contemporaries.
We're also able to compare this research output to 104 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 60% of its contemporaries.