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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Mouse Models for Drug Discovery
|
|---|---|
| Chapter number | 8 |
| Book title |
Mouse Models for Drug Discovery
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3661-8_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3659-5, 978-1-4939-3661-8
|
| Authors |
Bhattarai, Yogesh, Kashyap, Purna C, Yogesh Bhattarai, Purna C. Kashyap M.B.B.S., Purna C. Kashyap |
| Editors |
Gabriele Proetzel, Michael V. Wiles |
| Abstract |
Germ-free (GF) mice are a relevant model system to study host-microbial interactions in health and disease. In this chapter, we underscore the importance of using GF mice model to study host-microbial interactions in obesity, immune development and gastrointestinal physiology by reviewing current literature. Furthermore, we also provide a brief protocol on how to setup a gnotobiotic facility in order to properly maintain and assess GF status in mice colonies. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 17% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 7 | 12% |
| Researcher | 6 | 10% |
| Other | 4 | 7% |
| Other | 6 | 10% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 19% |
| Agricultural and Biological Sciences | 10 | 17% |
| Immunology and Microbiology | 6 | 10% |
| Medicine and Dentistry | 4 | 7% |
| Neuroscience | 3 | 5% |
| Other | 2 | 3% |
| Unknown | 22 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 19 December 2017.
All research outputs
#3,747,030
of 22,869,263 outputs
Outputs from Methods in molecular biology
#942
of 13,128 outputs
Outputs of similar age
#64,924
of 393,652 outputs
Outputs of similar age from Methods in molecular biology
#149
of 1,470 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,128 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 92% 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 393,652 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.