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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multilevel omic data integration in cancer cell lines: advanced annotation and emergent properties
|
|---|---|
| Published in |
BMC Systems Biology, February 2013
|
| DOI | 10.1186/1752-0509-7-14 |
| Pubmed ID | |
| Authors |
Yuanhua Liu, Valentina Devescovi, Suning Chen, Christine Nardini |
| Abstract |
High-throughput (omic) data have become more widespread in both quantity and frequency of use, thanks to technological advances, lower costs and higher precision. Consequently, computational scientists are confronted by two parallel challenges: on one side, the design of efficient methods to interpret each of these data in their own right (gene expression signatures, protein markers, etc.) and, on the other side, realization of a novel, pressing request from the biological field to design methodologies that allow for these data to be interpreted as a whole, i.e. not only as the union of relevant molecules in each of these layers, but as a complex molecular signature containing proteins, mRNAs and miRNAs, all of which must be directly associated in the results of analyses that are able to capture inter-layers connections and complexity. |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 1 | 20% |
| Peru | 1 | 20% |
| Germany | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 2% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Argentina | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 119 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 30% |
| Researcher | 32 | 25% |
| Student > Master | 10 | 8% |
| Other | 9 | 7% |
| Professor > Associate Professor | 7 | 5% |
| Other | 17 | 13% |
| Unknown | 14 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 31% |
| Biochemistry, Genetics and Molecular Biology | 26 | 20% |
| Computer Science | 14 | 11% |
| Medicine and Dentistry | 9 | 7% |
| Mathematics | 7 | 5% |
| Other | 13 | 10% |
| Unknown | 19 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 March 2013.
All research outputs
#13,503,893
of 23,881,329 outputs
Outputs from BMC Systems Biology
#428
of 1,126 outputs
Outputs of similar age
#101,979
of 195,337 outputs
Outputs of similar age from BMC Systems Biology
#6
of 19 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 62% 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 195,337 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 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 73% of its contemporaries.