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X Demographics
Mendeley readers
Attention Score in Context
Title |
“Antedisciplinary” Science
|
---|---|
Published in |
PLoS Computational Biology, June 2005
|
DOI | 10.1371/journal.pcbi.0010006 |
Pubmed ID | |
Authors |
Sean R Eddy |
X Demographics
The data shown below were collected from the profiles of 505 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 166 | 33% |
United Kingdom | 53 | 10% |
Canada | 13 | 3% |
France | 11 | 2% |
Germany | 10 | 2% |
Italy | 8 | 2% |
Netherlands | 6 | 1% |
Spain | 6 | 1% |
Ireland | 4 | <1% |
Other | 57 | 11% |
Unknown | 171 | 34% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 264 | 52% |
Members of the public | 229 | 45% |
Practitioners (doctors, other healthcare professionals) | 7 | 1% |
Science communicators (journalists, bloggers, editors) | 4 | <1% |
Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,055 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 133 | 4% |
United Kingdom | 46 | 2% |
Germany | 26 | <1% |
Canada | 25 | <1% |
Japan | 16 | <1% |
Brazil | 14 | <1% |
France | 14 | <1% |
Switzerland | 12 | <1% |
Spain | 11 | <1% |
Other | 91 | 3% |
Unknown | 2667 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 738 | 24% |
Student > Ph. D. Student | 535 | 18% |
Professor > Associate Professor | 405 | 13% |
Professor | 359 | 12% |
Other | 185 | 6% |
Other | 561 | 18% |
Unknown | 272 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 658 | 22% |
Medicine and Dentistry | 544 | 18% |
Biochemistry, Genetics and Molecular Biology | 179 | 6% |
Physics and Astronomy | 174 | 6% |
Computer Science | 153 | 5% |
Other | 1006 | 33% |
Unknown | 341 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 364. 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 06 February 2024.
All research outputs
#89,712
of 25,874,560 outputs
Outputs from PLoS Computational Biology
#63
of 9,062 outputs
Outputs of similar age
#81
of 68,094 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 10 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,062 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 99% 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 68,094 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 99% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them