The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
A collection of genetic mouse lines and related tools for inducible and reversible intersectional mis-expression
|
|---|---|
| Published in |
Development (09501991), January 2020
|
| DOI | 10.1242/dev.186650 |
| Pubmed ID | |
| Authors |
Elham Ahmadzadeh, N. Sumru Bayin, Xinli Qu, Aditi Singh, Linda Madisen, Daniel Stephen, Hongkui Zeng, Alexandra L. Joyner, Alberto Rosello-Diez |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 24% |
| Australia | 4 | 19% |
| United Kingdom | 3 | 14% |
| India | 2 | 10% |
| Portugal | 1 | 5% |
| Czechia | 1 | 5% |
| Unknown | 5 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 48% |
| Scientists | 10 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Researcher | 8 | 23% |
| Other | 4 | 11% |
| Student > Bachelor | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 31% |
| Agricultural and Biological Sciences | 5 | 14% |
| Neuroscience | 4 | 11% |
| Medicine and Dentistry | 3 | 9% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 8 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 21 June 2023.
All research outputs
#3,374,629
of 26,794,105 outputs
Outputs from Development (09501991)
#1,963
of 9,830 outputs
Outputs of similar age
#75,587
of 484,799 outputs
Outputs of similar age from Development (09501991)
#61
of 241 outputs
Altmetric has tracked 26,794,105 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,830 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 79% 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 484,799 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 84% of its contemporaries.
We're also able to compare this research output to 241 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.