You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
An informatics consult approach for generating clinical evidence for treatment decisions
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, October 2021
|
DOI | 10.1186/s12911-021-01638-z |
Pubmed ID | |
Authors |
Alvina G. Lai, Wai Hoong Chang, Constantinos A. Parisinos, Michail Katsoulis, Ruth M. Blackburn, Anoop D. Shah, Vincent Nguyen, Spiros Denaxas, George Davey Smith, Tom R. Gaunt, Krishnarajah Nirantharakumar, Murray P. Cox, Donall Forde, Folkert W. Asselbergs, Steve Harris, Sylvia Richardson, Reecha Sofat, Richard J. B. Dobson, Aroon Hingorani, Riyaz Patel, Jonathan Sterne, Amitava Banerjee, Alastair K. Denniston, Simon Ball, Neil J. Sebire, Nigam H. Shah, Graham R. Foster, Bryan Williams, Harry Hemingway |
X Demographics
The data shown below were collected from the profiles of 5 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 | 3 | 60% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 18% |
Other | 3 | 9% |
Student > Master | 3 | 9% |
Librarian | 2 | 6% |
Student > Bachelor | 1 | 3% |
Other | 2 | 6% |
Unknown | 17 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 15% |
Computer Science | 4 | 12% |
Psychology | 2 | 6% |
Social Sciences | 2 | 6% |
Mathematics | 1 | 3% |
Other | 1 | 3% |
Unknown | 19 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 12 November 2021.
All research outputs
#8,327,005
of 25,539,438 outputs
Outputs from BMC Medical Informatics and Decision Making
#796
of 2,149 outputs
Outputs of similar age
#158,175
of 438,584 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 48 outputs
Altmetric has tracked 25,539,438 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,149 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 gotten more attention than average, scoring higher than 62% 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 438,584 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.