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Mendeley readers
Attention Score in Context
| Title |
1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data
|
|---|---|
| Published in |
BMC Bioinformatics, November 2012
|
| DOI | 10.1186/1471-2105-13-s16-s12 |
| Pubmed ID | |
| Authors |
Juergen Cox, Matthias Mann |
Mendeley readers
The data shown below were compiled from readership statistics for 542 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 1% |
| Germany | 4 | <1% |
| Netherlands | 3 | <1% |
| United States | 3 | <1% |
| France | 2 | <1% |
| Ireland | 1 | <1% |
| Austria | 1 | <1% |
| South Africa | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 5 | <1% |
| Unknown | 514 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 142 | 26% |
| Researcher | 118 | 22% |
| Student > Master | 61 | 11% |
| Student > Bachelor | 37 | 7% |
| Student > Doctoral Student | 28 | 5% |
| Other | 71 | 13% |
| Unknown | 85 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 183 | 34% |
| Biochemistry, Genetics and Molecular Biology | 154 | 28% |
| Chemistry | 23 | 4% |
| Medicine and Dentistry | 21 | 4% |
| Computer Science | 13 | 2% |
| Other | 49 | 9% |
| Unknown | 99 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 15 November 2017.
All research outputs
#4,759,510
of 23,033,713 outputs
Outputs from BMC Bioinformatics
#1,823
of 7,318 outputs
Outputs of similar age
#36,106
of 184,202 outputs
Outputs of similar age from BMC Bioinformatics
#28
of 112 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,318 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 73% 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 184,202 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 78% of its contemporaries.
We're also able to compare this research output to 112 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 73% of its contemporaries.