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 |
Kiwi: a tool for integration and visualization of network topology and gene-set analysis
|
|---|---|
| Published in |
BMC Bioinformatics, December 2014
|
| DOI | 10.1186/s12859-014-0408-9 |
| Pubmed ID | |
| Authors |
Leif Väremo, Francesco Gatto, Jens Nielsen |
| Abstract |
The analysis of high-throughput data in biology is aided by integrative approaches such as gene-set analysis. Gene-sets can represent well-defined biological entities (e.g. metabolites) that interact in networks (e.g. metabolic networks), to exert their function within the cell. Data interpretation can benefit from incorporating the underlying network, but there are currently no optimal methods that link gene-set analysis and network structures. |
X Demographics
The data shown below were collected from the profiles of 43 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 | 6 | 14% |
| France | 4 | 9% |
| Germany | 2 | 5% |
| Canada | 2 | 5% |
| Spain | 2 | 5% |
| United Kingdom | 2 | 5% |
| Japan | 1 | 2% |
| Australia | 1 | 2% |
| Norway | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 22 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 53% |
| Scientists | 18 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 3% |
| Netherlands | 2 | 2% |
| United States | 2 | 2% |
| France | 1 | 1% |
| Singapore | 1 | 1% |
| Denmark | 1 | 1% |
| Taiwan | 1 | 1% |
| Spain | 1 | 1% |
| Luxembourg | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 86 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 30% |
| Student > Ph. D. Student | 29 | 29% |
| Student > Master | 9 | 9% |
| Student > Doctoral Student | 6 | 6% |
| Student > Bachelor | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 8 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 44% |
| Biochemistry, Genetics and Molecular Biology | 17 | 17% |
| Computer Science | 7 | 7% |
| Engineering | 6 | 6% |
| Mathematics | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 13 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 14 September 2017.
All research outputs
#1,284,798
of 24,598,501 outputs
Outputs from BMC Bioinformatics
#150
of 7,559 outputs
Outputs of similar age
#17,446
of 371,558 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 135 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,559 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 done particularly well, scoring higher than 98% 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 371,558 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.