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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OpenWorm: an open-science approach to modeling Caenorhabditis elegans
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, November 2014
|
| DOI | 10.3389/fncom.2014.00137 |
| Pubmed ID | |
| Authors |
Balázs Szigeti, Padraig Gleeson, Michael Vella, Sergey Khayrulin, Andrey Palyanov, Jim Hokanson, Michael Currie, Matteo Cantarelli, Giovanni Idili, Stephen Larson |
X Demographics
The data shown below were collected from the profiles of 26 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 | 23% |
| United Kingdom | 2 | 8% |
| Canada | 2 | 8% |
| Sweden | 1 | 4% |
| Germany | 1 | 4% |
| France | 1 | 4% |
| Bangladesh | 1 | 4% |
| Unknown | 12 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 69% |
| Scientists | 8 | 31% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 154 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 21% |
| Researcher | 29 | 19% |
| Student > Master | 25 | 16% |
| Student > Bachelor | 15 | 10% |
| Professor > Associate Professor | 7 | 4% |
| Other | 31 | 20% |
| Unknown | 16 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 28 | 18% |
| Agricultural and Biological Sciences | 24 | 15% |
| Computer Science | 24 | 15% |
| Engineering | 20 | 13% |
| Biochemistry, Genetics and Molecular Biology | 13 | 8% |
| Other | 23 | 15% |
| Unknown | 24 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 13 March 2020.
All research outputs
#1,179,670
of 25,706,302 outputs
Outputs from Frontiers in Computational Neuroscience
#43
of 1,475 outputs
Outputs of similar age
#13,199
of 276,588 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#2
of 31 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 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 276,588 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 95% of its contemporaries.
We're also able to compare this research output to 31 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 93% of its contemporaries.