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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BiNoM 2.0, a Cytoscape plugin for accessing and analyzing pathways using standard systems biology formats
|
|---|---|
| Published in |
BMC Systems Biology, March 2013
|
| DOI | 10.1186/1752-0509-7-18 |
| Pubmed ID | |
| Authors |
Eric Bonnet, Laurence Calzone, Daniel Rovera, Gautier Stoll, Emmanuel Barillot, Andrei Zinovyev |
| Abstract |
Public repositories of biological pathways and networks have greatly expanded in recent years. Such databases contain many pathways that facilitate the analysis of high-throughput experimental work and the formulation of new biological hypotheses to be tested, a fundamental principle of the systems biology approach. However, large-scale molecular maps are not always easy to mine and interpret. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| United States | 2 | 29% |
| Peru | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Members of the public | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 2% |
| Germany | 1 | 1% |
| Chile | 1 | 1% |
| Italy | 1 | 1% |
| United Kingdom | 1 | 1% |
| Russia | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 78 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 33% |
| Student > Ph. D. Student | 16 | 19% |
| Student > Master | 8 | 9% |
| Other | 7 | 8% |
| Student > Bachelor | 6 | 7% |
| Other | 16 | 19% |
| Unknown | 5 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 44% |
| Biochemistry, Genetics and Molecular Biology | 15 | 17% |
| Computer Science | 9 | 10% |
| Medicine and Dentistry | 5 | 6% |
| Engineering | 3 | 3% |
| Other | 6 | 7% |
| Unknown | 10 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 March 2013.
All research outputs
#6,599,307
of 23,342,092 outputs
Outputs from BMC Systems Biology
#236
of 1,143 outputs
Outputs of similar age
#54,207
of 195,534 outputs
Outputs of similar age from BMC Systems Biology
#5
of 22 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,143 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 78% 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 195,534 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 70% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.