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X Demographics
Mendeley readers
Attention Score in Context
Title |
ENCODE Data in the UCSC Genome Browser: year 5 update
|
---|---|
Published in |
Nucleic Acids Research, November 2012
|
DOI | 10.1093/nar/gks1172 |
Pubmed ID | |
Authors |
Kate R. Rosenbloom, Cricket A. Sloan, Venkat S. Malladi, Timothy R. Dreszer, Katrina Learned, Vanessa M. Kirkup, Matthew C. Wong, Morgan Maddren, Ruihua Fang, Steven G. Heitner, Brian T. Lee, Galt P. Barber, Rachel A. Harte, Mark Diekhans, Jeffrey C. Long, Steven P. Wilder, Ann S. Zweig, Donna Karolchik, Robert M. Kuhn, David Haussler, W. James Kent |
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 % |
---|---|---|
Peru | 1 | 25% |
Australia | 1 | 25% |
United States | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 429 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 9 | 2% |
United States | 5 | 1% |
Denmark | 3 | <1% |
France | 2 | <1% |
Canada | 2 | <1% |
India | 2 | <1% |
Brazil | 2 | <1% |
Australia | 1 | <1% |
Norway | 1 | <1% |
Other | 4 | <1% |
Unknown | 398 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 131 | 31% |
Researcher | 76 | 18% |
Student > Master | 43 | 10% |
Student > Bachelor | 32 | 7% |
Professor > Associate Professor | 22 | 5% |
Other | 77 | 18% |
Unknown | 48 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 185 | 43% |
Biochemistry, Genetics and Molecular Biology | 107 | 25% |
Medicine and Dentistry | 36 | 8% |
Computer Science | 14 | 3% |
Immunology and Microbiology | 6 | 1% |
Other | 22 | 5% |
Unknown | 59 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 09 May 2024.
All research outputs
#1,799,937
of 25,872,466 outputs
Outputs from Nucleic Acids Research
#1,514
of 27,765 outputs
Outputs of similar age
#15,182
of 288,521 outputs
Outputs of similar age from Nucleic Acids Research
#16
of 382 outputs
Altmetric has tracked 25,872,466 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,765 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 94% 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 288,521 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 382 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.