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Mendeley readers
Attention Score in Context
| Title |
A Multi-cell, Multi-scale Model of Vertebrate Segmentation and Somite Formation
|
|---|---|
| Published in |
PLoS Computational Biology, October 2011
|
| DOI | 10.1371/journal.pcbi.1002155 |
| Pubmed ID | |
| Authors |
Susan D. Hester, Julio M. Belmonte, J. Scott Gens, Sherry G. Clendenon, James A. Glazier |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 2% |
| United States | 3 | 2% |
| United Kingdom | 3 | 2% |
| Russia | 2 | 1% |
| Portugal | 2 | 1% |
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| Mexico | 1 | <1% |
| France | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 167 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 25% |
| Researcher | 41 | 22% |
| Student > Master | 20 | 11% |
| Student > Bachelor | 18 | 10% |
| Professor | 13 | 7% |
| Other | 31 | 16% |
| Unknown | 18 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 68 | 36% |
| Biochemistry, Genetics and Molecular Biology | 36 | 19% |
| Physics and Astronomy | 18 | 10% |
| Mathematics | 12 | 6% |
| Engineering | 11 | 6% |
| Other | 23 | 12% |
| Unknown | 21 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 February 2014.
All research outputs
#22,953,184
of 25,593,129 outputs
Outputs from PLoS Computational Biology
#8,615
of 9,006 outputs
Outputs of similar age
#135,035
of 146,370 outputs
Outputs of similar age from PLoS Computational Biology
#120
of 126 outputs
Altmetric has tracked 25,593,129 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,006 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 1st percentile – i.e., 1% 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 146,370 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.