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X Demographics
Mendeley readers
Attention Score in Context
Title |
A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, September 2019
|
DOI | 10.1186/s12911-019-0908-7 |
Pubmed ID | |
Authors |
Emily Wheater, Grant Mair, Cathie Sudlow, Beatrice Alex, Claire Grover, William Whiteley |
X Demographics
The data shown below were collected from the profiles of 12 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 Kingdom | 8 | 67% |
France | 1 | 8% |
Germany | 1 | 8% |
Unknown | 2 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Scientists | 1 | 8% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 70 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 20% |
Student > Master | 7 | 10% |
Student > Doctoral Student | 7 | 10% |
Student > Ph. D. Student | 5 | 7% |
Other | 5 | 7% |
Other | 11 | 16% |
Unknown | 21 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 23% |
Computer Science | 8 | 11% |
Neuroscience | 6 | 9% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Arts and Humanities | 2 | 3% |
Other | 8 | 11% |
Unknown | 28 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 17 September 2019.
All research outputs
#2,325,872
of 25,766,791 outputs
Outputs from BMC Medical Informatics and Decision Making
#131
of 2,158 outputs
Outputs of similar age
#46,579
of 352,973 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 35 outputs
Altmetric has tracked 25,766,791 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 93% 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 352,973 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 86% of its contemporaries.
We're also able to compare this research output to 35 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 91% of its contemporaries.