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X Demographics
Mendeley readers
| Title |
Zebrafish models of the immune response: taking it on the ChIn
|
|---|---|
| Published in |
BMC Biology, December 2010
|
| DOI | 10.1186/1741-7007-8-148 |
| Pubmed ID | |
| Authors |
Stephen A Renshaw, Philip W Ingham |
| Abstract |
The zebrafish is proving to be an extremely versatile new experimental model for unraveling the mysteries of innate immunity and has considerable promise as a system for the identification of novel modulators of this crucial biological process. A rate-limiting factor, however, is the mechanical stimulus required to induce the inflammatory response. A new chemically induced inflammation assay ('ChIn' assay) published in BMC Biology obviates this requirement and seems set to accelerate progress in the field. |
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 % |
|---|---|---|
| Finland | 1 | 25% |
| Canada | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 2 | 3% |
| France | 1 | 2% |
| Portugal | 1 | 2% |
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 53 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 28% |
| Researcher | 12 | 20% |
| Student > Bachelor | 6 | 10% |
| Professor > Associate Professor | 5 | 8% |
| Student > Master | 5 | 8% |
| Other | 10 | 16% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 51% |
| Medicine and Dentistry | 9 | 15% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Environmental Science | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 7 | 11% |