You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting phenotypic traits of prokaryotes from protein domain frequencies
|
|---|---|
| Published in |
BMC Bioinformatics, September 2010
|
| DOI | 10.1186/1471-2105-11-481 |
| Pubmed ID | |
| Authors |
Thomas Lingner, Stefanie Mühlhausen, Toni Gabaldón, Cedric Notredame, Peter Meinicke |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| Brazil | 1 | 2% |
| Germany | 1 | 2% |
| Spain | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 51 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 32% |
| Student > Ph. D. Student | 14 | 24% |
| Student > Master | 7 | 12% |
| Professor > Associate Professor | 6 | 10% |
| Student > Bachelor | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 58% |
| Computer Science | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 6 | 10% |
| Immunology and Microbiology | 4 | 7% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 5 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 May 2016.
All research outputs
#18,459,684
of 22,873,031 outputs
Outputs from BMC Bioinformatics
#6,330
of 7,297 outputs
Outputs of similar age
#87,146
of 97,294 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 52 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,297 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 5th percentile – i.e., 5% 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 97,294 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.