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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of early radiation DNA damage in a fractal cell nucleus model using Geant4-DNA
|
|---|---|
| Published in |
Physica Medica, May 2019
|
| DOI | 10.1016/j.ejmp.2019.04.010 |
| Pubmed ID | |
| Authors |
Dousatsu Sakata, Nathanael Lampe, Mathieu Karamitros, Ioanna Kyriakou, Oleg Belov, Mario A Bernal, David Bolst, Marie-Claude Bordage, Vincent Breton, Jeremy M C Brown, Ziad Francis, Vladimir Ivanchenko, Sylvain Meylan, Koichi Murakami, Shogo Okada, Ivan Petrovic, Aleksandra Ristic-Fira, Giovanni Santin, David Sarramia, Takashi Sasaki, Wook-Geun Shin, Nicolas Tang, Hoang N Tran, Carmen Villagrasa, Dimitris Emfietzoglou, Petteri Nieminen, Susanna Guatelli, Sebastien Incerti |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 2 | 20% |
| France | 2 | 20% |
| United States | 1 | 10% |
| Greece | 1 | 10% |
| Netherlands | 1 | 10% |
| Ireland | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
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 % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 20% |
| Researcher | 16 | 20% |
| Professor > Associate Professor | 6 | 7% |
| Student > Master | 5 | 6% |
| Student > Bachelor | 4 | 5% |
| Other | 9 | 11% |
| Unknown | 25 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 29 | 36% |
| Engineering | 6 | 7% |
| Medicine and Dentistry | 4 | 5% |
| Chemistry | 3 | 4% |
| Computer Science | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 32 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 30 May 2019.
All research outputs
#6,223,124
of 25,385,509 outputs
Outputs from Physica Medica
#99
of 975 outputs
Outputs of similar age
#105,553
of 365,305 outputs
Outputs of similar age from Physica Medica
#2
of 41 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 975 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 89% 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 365,305 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 71% of its contemporaries.
We're also able to compare this research output to 41 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 95% of its contemporaries.