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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Processing methods for differential analysis of LC/MS profile data
|
|---|---|
| Published in |
BMC Bioinformatics, July 2005
|
| DOI | 10.1186/1471-2105-6-179 |
| Pubmed ID | |
| Authors |
Mikko Katajamaa, Matej Orešič |
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 % |
|---|---|---|
| Malaysia | 1 | 14% |
| United Kingdom | 1 | 14% |
| Japan | 1 | 14% |
| Czechia | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 510 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 1% |
| United States | 4 | <1% |
| Colombia | 3 | <1% |
| Netherlands | 3 | <1% |
| Germany | 2 | <1% |
| Austria | 2 | <1% |
| Brazil | 2 | <1% |
| Portugal | 2 | <1% |
| Denmark | 2 | <1% |
| Other | 12 | 2% |
| Unknown | 472 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 117 | 23% |
| Researcher | 102 | 20% |
| Student > Master | 67 | 13% |
| Student > Bachelor | 36 | 7% |
| Student > Doctoral Student | 25 | 5% |
| Other | 88 | 17% |
| Unknown | 75 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 144 | 28% |
| Chemistry | 103 | 20% |
| Biochemistry, Genetics and Molecular Biology | 55 | 11% |
| Computer Science | 37 | 7% |
| Medicine and Dentistry | 16 | 3% |
| Other | 69 | 14% |
| Unknown | 86 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 August 2020.
All research outputs
#4,002,915
of 23,263,851 outputs
Outputs from BMC Bioinformatics
#1,494
of 7,365 outputs
Outputs of similar age
#9,041
of 57,803 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 23 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,365 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 79% 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 57,803 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 84% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.