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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Composition Profiler: a tool for discovery and visualization of amino acid composition differences
|
|---|---|
| Published in |
BMC Bioinformatics, June 2007
|
| DOI | 10.1186/1471-2105-8-211 |
| Pubmed ID | |
| Authors |
Vladimir Vacic, Vladimir N Uversky, A Keith Dunker, Stefano Lonardi |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Germany | 2 | 1% |
| France | 2 | 1% |
| Malaysia | 1 | <1% |
| Brazil | 1 | <1% |
| Israel | 1 | <1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 165 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 26% |
| Researcher | 35 | 19% |
| Student > Master | 19 | 11% |
| Student > Bachelor | 11 | 6% |
| Professor > Associate Professor | 9 | 5% |
| Other | 24 | 13% |
| Unknown | 35 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 60 | 33% |
| Biochemistry, Genetics and Molecular Biology | 48 | 27% |
| Chemistry | 7 | 4% |
| Computer Science | 5 | 3% |
| Immunology and Microbiology | 4 | 2% |
| Other | 14 | 8% |
| Unknown | 42 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 November 2018.
All research outputs
#13,783,111
of 22,881,154 outputs
Outputs from BMC Bioinformatics
#4,457
of 7,298 outputs
Outputs of similar age
#58,220
of 68,941 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 45 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,298 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 68,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.