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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NetWalker: a contextual network analysis tool for functional genomics
|
|---|---|
| Published in |
BMC Genomics, June 2012
|
| DOI | 10.1186/1471-2164-13-282 |
| Pubmed ID | |
| Authors |
Kakajan Komurov, Serkan Dursun, Serkan Erdin, Prahlad T Ram |
| Abstract |
Functional analyses of genomic data within the context of a priori biomolecular networks can give valuable mechanistic insights. However, such analyses are not a trivial task, owing to the complexity of biological networks and lack of computational methods for their effective integration with experimental data. |
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 % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Brazil | 2 | 2% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 98 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 26% |
| Researcher | 25 | 24% |
| Student > Master | 10 | 9% |
| Professor | 9 | 8% |
| Student > Bachelor | 7 | 7% |
| Other | 15 | 14% |
| Unknown | 12 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 38% |
| Biochemistry, Genetics and Molecular Biology | 20 | 19% |
| Computer Science | 11 | 10% |
| Medicine and Dentistry | 6 | 6% |
| Engineering | 5 | 5% |
| Other | 7 | 7% |
| Unknown | 17 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 03 January 2023.
All research outputs
#7,047,316
of 25,373,627 outputs
Outputs from BMC Genomics
#2,828
of 11,244 outputs
Outputs of similar age
#47,450
of 177,629 outputs
Outputs of similar age from BMC Genomics
#28
of 157 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 74% 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 177,629 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.