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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reconstruction of Genome-Scale Active Metabolic Networks for 69 Human Cell Types and 16 Cancer Types Using INIT
|
|---|---|
| Published in |
PLoS Computational Biology, May 2012
|
| DOI | 10.1371/journal.pcbi.1002518 |
| Pubmed ID | |
| Authors |
Rasmus Agren, Sergio Bordel, Adil Mardinoglu, Natapol Pornputtapong, Intawat Nookaew, Jens Nielsen |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Canada | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 501 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 2% |
| Iran, Islamic Republic of | 3 | <1% |
| France | 3 | <1% |
| Latvia | 2 | <1% |
| Luxembourg | 2 | <1% |
| Switzerland | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Brazil | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 470 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 126 | 25% |
| Researcher | 104 | 21% |
| Student > Master | 70 | 14% |
| Student > Bachelor | 30 | 6% |
| Student > Doctoral Student | 22 | 4% |
| Other | 70 | 14% |
| Unknown | 79 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 161 | 32% |
| Biochemistry, Genetics and Molecular Biology | 105 | 21% |
| Computer Science | 40 | 8% |
| Engineering | 27 | 5% |
| Chemical Engineering | 19 | 4% |
| Other | 56 | 11% |
| Unknown | 93 | 19% |
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 24 August 2012.
All research outputs
#8,499,896
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#5,489
of 9,035 outputs
Outputs of similar age
#59,158
of 180,694 outputs
Outputs of similar age from PLoS Computational Biology
#52
of 108 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 180,694 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 66% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.