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X Demographics
Mendeley readers
Attention Score in Context
Title |
How behavioral economics can help to avoid ‘The last mile problem’ in whole genome sequencing
|
---|---|
Published in |
Genome Medicine, January 2015
|
DOI | 10.1186/s13073-015-0132-8 |
Pubmed ID | |
Authors |
Jennifer S Blumenthal-Barby, Amy L McGuire, Robert C Green, Peter A Ubel |
Abstract |
Failure to consider lessons from behavioral economics in the case of whole genome sequencing may cause us to run into the 'last mile problem' - the failure to integrate newly developed technology, on which billions of dollars have been invested, into society in a way that improves human behavior and decision-making. |
X Demographics
The data shown below were collected from the profiles of 24 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 | 5 | 21% |
United Kingdom | 4 | 17% |
Australia | 2 | 8% |
France | 1 | 4% |
Canada | 1 | 4% |
Spain | 1 | 4% |
India | 1 | 4% |
Unknown | 9 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 50% |
Scientists | 11 | 46% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 27% |
Other | 5 | 15% |
Student > Bachelor | 4 | 12% |
Student > Ph. D. Student | 4 | 12% |
Student > Master | 3 | 9% |
Other | 6 | 18% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 21% |
Computer Science | 4 | 12% |
Business, Management and Accounting | 3 | 9% |
Biochemistry, Genetics and Molecular Biology | 3 | 9% |
Social Sciences | 3 | 9% |
Other | 8 | 24% |
Unknown | 5 | 15% |
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 08 June 2019.
All research outputs
#1,763,941
of 25,371,288 outputs
Outputs from Genome Medicine
#391
of 1,585 outputs
Outputs of similar age
#23,924
of 359,637 outputs
Outputs of similar age from Genome Medicine
#5
of 28 outputs
Altmetric has tracked 25,371,288 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 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done well, scoring higher than 75% 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 359,637 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 93% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.