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X Demographics
Mendeley readers
Attention Score in Context
Title |
External validation, update and development of prediction models for pre-eclampsia using an Individual Participant Data (IPD) meta-analysis: the International Prediction of Pregnancy Complication Network (IPPIC pre-eclampsia) protocol
|
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Published in |
Diagnostic and Prognostic Research, October 2017
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DOI | 10.1186/s41512-017-0016-z |
Pubmed ID | |
Authors |
John Allotey, Kym I. E. Snell, Claire Chan, Richard Hooper, Julie Dodds, Ewelina Rogozinska, Khalid S. Khan, Lucilla Poston, Louise Kenny, Jenny Myers, Basky Thilaganathan, Lucy Chappell, Ben W. Mol, Peter Von Dadelszen, Asif Ahmed, Marcus Green, Liona Poon, Asma Khalil, Karel G. M. Moons, Richard D. Riley, Shakila Thangaratinam, for the IPPIC Collaborative Network |
X Demographics
The data shown below were collected from the profiles of 10 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 | 7 | 70% |
South Africa | 1 | 10% |
Unknown | 2 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 50% |
Members of the public | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 9 | 20% |
Researcher | 6 | 13% |
Student > Master | 4 | 9% |
Student > Ph. D. Student | 4 | 9% |
Other | 2 | 4% |
Other | 5 | 11% |
Unknown | 15 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 27% |
Nursing and Health Professions | 3 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Immunology and Microbiology | 2 | 4% |
Social Sciences | 2 | 4% |
Other | 6 | 13% |
Unknown | 18 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 October 2017.
All research outputs
#5,227,444
of 25,837,817 outputs
Outputs from Diagnostic and Prognostic Research
#45
of 126 outputs
Outputs of similar age
#83,399
of 333,692 outputs
Outputs of similar age from Diagnostic and Prognostic Research
#3
of 4 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 126 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has gotten more attention than average, scoring higher than 64% 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 333,692 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 4 others from the same source and published within six weeks on either side of this one.