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Mendeley readers
Attention Score in Context
| Title |
MIRIAM Resources: tools to generate and resolve robust cross-references in Systems Biology
|
|---|---|
| Published in |
BMC Systems Biology, December 2007
|
| DOI | 10.1186/1752-0509-1-58 |
| Pubmed ID | |
| Authors |
Camille Laibe, Nicolas Le Novère |
| Abstract |
The Minimal Information Requested In the Annotation of biochemical Models (MIRIAM) is a set of guidelines for the annotation and curation processes of computational models, in order to facilitate their exchange and reuse. An important part of the standard consists in the controlled annotation of model components, based on Uniform Resource Identifiers. In order to enable interoperability of this annotation, the community has to agree on a set of standard URIs, corresponding to recognised data types. MIRIAM Resources are being developed to support the use of those URIs. |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| United Kingdom | 3 | 4% |
| Portugal | 2 | 2% |
| Austria | 1 | 1% |
| Australia | 1 | 1% |
| France | 1 | 1% |
| Hungary | 1 | 1% |
| Czechia | 1 | 1% |
| Iceland | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 66 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 40% |
| Student > Ph. D. Student | 16 | 20% |
| Other | 8 | 10% |
| Student > Master | 6 | 7% |
| Student > Bachelor | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 43% |
| Computer Science | 12 | 15% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Engineering | 5 | 6% |
| Medicine and Dentistry | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 6 | 7% |
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 31 January 2019.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from BMC Systems Biology
#314
of 1,142 outputs
Outputs of similar age
#41,300
of 155,987 outputs
Outputs of similar age from BMC Systems Biology
#4
of 7 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 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 64% 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 155,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.