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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A survey of protein interaction data and multigenic inherited disorders
|
|---|---|
| Published in |
BMC Bioinformatics, February 2013
|
| DOI | 10.1186/1471-2105-14-47 |
| Pubmed ID | |
| Authors |
Antonio Mora, Katerina Michalickova, Ian M Donaldson |
| Abstract |
Multigenic diseases are often associated with protein complexes or interactions involved in the same pathway. We wanted to estimate to what extent this is true given a consolidated protein interaction data set. The study stresses data integration and data representation issues. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 20% |
| United States | 2 | 20% |
| Canada | 1 | 10% |
| Norway | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Italy | 2 | 4% |
| United Kingdom | 2 | 4% |
| Brazil | 1 | 2% |
| Germany | 1 | 2% |
| Netherlands | 1 | 2% |
| Denmark | 1 | 2% |
| Canada | 1 | 2% |
| Spain | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 39 | 75% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 42% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Master | 7 | 13% |
| Other | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 44% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Computer Science | 7 | 13% |
| Medicine and Dentistry | 3 | 6% |
| Chemistry | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 3 | 6% |
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 16 September 2013.
All research outputs
#5,932,028
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#2,097
of 7,454 outputs
Outputs of similar age
#62,967
of 293,200 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 140 outputs
Altmetric has tracked 23,881,329 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 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 71% 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 293,200 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 140 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 74% of its contemporaries.