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X Demographics
Mendeley readers
Attention Score in Context
Title |
Corrupted DNA-binding specificity and ectopic transcription underpin dominant neomorphic mutations in KLF/SP transcription factors
|
---|---|
Published in |
BMC Genomics, May 2019
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DOI | 10.1186/s12864-019-5805-z |
Pubmed ID | |
Authors |
Melissa D. Ilsley, Stephen Huang, Graham W. Magor, Michael J. Landsberg, Kevin R. Gillinder, Andrew C. Perkins |
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 % |
---|---|---|
Australia | 4 | 40% |
United Kingdom | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 50% |
Scientists | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 5 | 22% |
Researcher | 5 | 22% |
Student > Ph. D. Student | 4 | 17% |
Professor > Associate Professor | 2 | 9% |
Other | 1 | 4% |
Other | 2 | 9% |
Unknown | 4 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 35% |
Unspecified | 5 | 22% |
Agricultural and Biological Sciences | 3 | 13% |
Immunology and Microbiology | 2 | 9% |
Medicine and Dentistry | 2 | 9% |
Other | 0 | 0% |
Unknown | 3 | 13% |
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 29 May 2019.
All research outputs
#4,105,749
of 24,242,692 outputs
Outputs from BMC Genomics
#1,582
of 10,930 outputs
Outputs of similar age
#79,152
of 353,482 outputs
Outputs of similar age from BMC Genomics
#35
of 240 outputs
Altmetric has tracked 24,242,692 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 10,930 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 85% 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 353,482 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 77% of its contemporaries.
We're also able to compare this research output to 240 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.