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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Path2Models: large-scale generation of computational models from biochemical pathway maps
|
|---|---|
| Published in |
BMC Systems Biology, November 2013
|
| DOI | 10.1186/1752-0509-7-116 |
| Pubmed ID | |
| Authors |
Finja Büchel, Nicolas Rodriguez, Neil Swainston, Clemens Wrzodek, Tobias Czauderna, Roland Keller, Florian Mittag, Michael Schubert, Mihai Glont, Martin Golebiewski, Martijn van Iersel, Sarah Keating, Matthias Rall, Michael Wybrow, Henning Hermjakob, Michael Hucka, Douglas B Kell, Wolfgang Müller, Pedro Mendes, Andreas Zell, Claudine Chaouiya, Julio Saez-Rodriguez, Falk Schreiber, Camille Laibe, Andreas Dräger, Nicolas Le Novère |
| Abstract |
Systems biology projects and omics technologies have led to a growing number of biochemical pathway models and reconstructions. However, the majority of these models are still created de novo, based on literature mining and the manual processing of pathway data. |
X Demographics
The data shown below were collected from the profiles of 29 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 | 21% |
| United Kingdom | 6 | 21% |
| Germany | 3 | 10% |
| Japan | 2 | 7% |
| Netherlands | 2 | 7% |
| India | 1 | 3% |
| Myanmar | 1 | 3% |
| Unknown | 8 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 48% |
| Members of the public | 14 | 48% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| Germany | 6 | 2% |
| Portugal | 3 | 1% |
| United Kingdom | 3 | 1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Colombia | 1 | <1% |
| Hungary | 1 | <1% |
| Lithuania | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 264 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 79 | 27% |
| Student > Ph. D. Student | 68 | 23% |
| Student > Master | 36 | 12% |
| Student > Bachelor | 16 | 5% |
| Student > Doctoral Student | 13 | 4% |
| Other | 44 | 15% |
| Unknown | 37 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 93 | 32% |
| Biochemistry, Genetics and Molecular Biology | 50 | 17% |
| Computer Science | 42 | 14% |
| Engineering | 20 | 7% |
| Mathematics | 8 | 3% |
| Other | 38 | 13% |
| Unknown | 42 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 21 June 2016.
All research outputs
#1,821,567
of 25,706,302 outputs
Outputs from BMC Systems Biology
#25
of 1,132 outputs
Outputs of similar age
#16,547
of 227,509 outputs
Outputs of similar age from BMC Systems Biology
#3
of 53 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 97% 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 227,509 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 92% of its contemporaries.
We're also able to compare this research output to 53 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 94% of its contemporaries.