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 |
Methods of 3D printing models of pituitary tumors
|
---|---|
Published in |
3D Printing in Medicine, August 2021
|
DOI | 10.1186/s41205-021-00118-4 |
Pubmed ID | |
Authors |
Daniel Gillett, Waiel Bashari, Russell Senanayake, Daniel Marsden, Olympia Koulouri, James MacFarlane, Merel van der Meulen, Andrew S. Powlson, Iosif A. Mendichovszky, Heok Cheow, Nick Bird, Angelos Kolias, Richard Mannion, Mark Gurnell |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
Cabo Verde | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 50% |
Members of the public | 3 | 38% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 15% |
Professor | 1 | 5% |
Unspecified | 1 | 5% |
Lecturer | 1 | 5% |
Lecturer > Senior Lecturer | 1 | 5% |
Other | 2 | 10% |
Unknown | 11 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 10% |
Unspecified | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Business, Management and Accounting | 1 | 5% |
Other | 0 | 0% |
Unknown | 12 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 18 May 2022.
All research outputs
#5,643,217
of 23,310,485 outputs
Outputs from 3D Printing in Medicine
#30
of 114 outputs
Outputs of similar age
#111,380
of 429,124 outputs
Outputs of similar age from 3D Printing in Medicine
#2
of 13 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 114 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 73% 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 429,124 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 74% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.