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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical bioinformatics for complex disorders: a schizophrenia case study
|
|---|---|
| Published in |
BMC Bioinformatics, October 2009
|
| DOI | 10.1186/1471-2105-10-s12-s6 |
| Pubmed ID | |
| Authors |
Emanuel Schwarz, F Markus Leweke, Sabine Bahn, Pietro Liò |
| Abstract |
In the diagnosis of complex diseases such as neurological pathologies, a wealth of clinical and molecular information is often available to help the interpretation. Yet, the pieces of information are usually considered in isolation and rarely integrated due to the lack of a sound statistical framework. This lack of integration results in the loss of valuable information about how disease associated factors act synergistically to cause the complex phenotype. |
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 % |
|---|---|---|
| Saudi Arabia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Spain | 2 | 3% |
| United Kingdom | 2 | 3% |
| Germany | 1 | 1% |
| Finland | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Unknown | 60 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 19% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Bachelor | 10 | 14% |
| Student > Master | 10 | 14% |
| Other | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 35% |
| Medicine and Dentistry | 9 | 13% |
| Psychology | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Computer Science | 3 | 4% |
| Other | 14 | 20% |
| Unknown | 10 | 14% |
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 17 December 2020.
All research outputs
#14,160,293
of 22,693,205 outputs
Outputs from BMC Bioinformatics
#4,714
of 7,254 outputs
Outputs of similar age
#76,027
of 93,012 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 59 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 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 30th percentile – i.e., 30% 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 93,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.