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Mendeley readers
Attention Score in Context
| Title |
Generating quantitative models describing the sequence specificity of biological processes with the stabilized matrix method
|
|---|---|
| Published in |
BMC Bioinformatics, May 2005
|
| DOI | 10.1186/1471-2105-6-132 |
| Pubmed ID | |
| Authors |
Bjoern Peters, Alessandro Sette |
Mendeley readers
The data shown below were compiled from readership statistics for 290 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| Germany | 2 | <1% |
| Colombia | 1 | <1% |
| Kenya | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Chile | 1 | <1% |
| Belgium | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 272 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 20% |
| Researcher | 47 | 16% |
| Student > Master | 42 | 14% |
| Student > Bachelor | 41 | 14% |
| Student > Doctoral Student | 16 | 6% |
| Other | 36 | 12% |
| Unknown | 49 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 24% |
| Biochemistry, Genetics and Molecular Biology | 63 | 22% |
| Computer Science | 22 | 8% |
| Immunology and Microbiology | 21 | 7% |
| Medicine and Dentistry | 13 | 4% |
| Other | 49 | 17% |
| Unknown | 51 | 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 01 September 2022.
All research outputs
#5,629,250
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#2,006
of 7,793 outputs
Outputs of similar age
#13,295
of 70,870 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 34 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 72% 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 70,870 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 70% of its contemporaries.
We're also able to compare this research output to 34 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 70% of its contemporaries.