The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
| Title |
Using Routinely Collected Electronic Healthcare Record Data to Investigate Fibrotic Multimorbidity in England
|
|---|---|
| Published in |
Clinical Epidemiology, June 2024
|
| DOI | 10.2147/clep.s463499 |
| Pubmed ID | |
| Authors |
Georgie M Massen, Hannah R Whittaker, Sarah Cook, Gisli Jenkins, Richard J Allen, Louise V Wain, Iain Stewart, Jennifer K Quint, Andrew Thorley, Anna Duckworth, Ali-Reza Mohammadi-Nejad, Aloysious Aravinthan, Anthony Harbottle, Armando Mendez Villalon, Chris Scotton, Christopher Denton, Daniel Lea, Dorothee Auer, Ebrima Joof, Eleanor Cox, Elizabeth Eves, Elizabeth Robertson, Emma Blamont, Fasihul Khan, Georgie Massen, Gina Parcesepe, Gisli Jenkins, Gordon Moran, Guruprasad Aithal, Hilary Longhurst, Iain Stewart, Jane Paxton, Jennifer Quint, Karen Piper Hanley, Kate Frost, Leo Casmino, Lisa Chakrabarti, Louise Wain, Margot Roeth, Maria Kaisar, Martin Craig, Michael Nation, Mohammad Alireza Kisomi, Mujdat Zeybel, Neil Guha, Nicholas Selby, Nick Oliver, Nick Selby, Olivia C Leavy, Penny Gowland, Philip Quinlan, Rachel Chambers, Richard Allen, Richard Hubbard, Rob Slack, Rutger Ploeg, Sam Moss, Sara Fawaz, Scott Turner, Shauntelle Quammie, Simon Johnson, Stamatios N Sotiropoulos, Stuart Astbury, Susan Francis, Tom Giles, Valerie Quinn, Wendy Adams, Xin Chen, Zhendi Gong |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 25% |
| Other | 1 | 25% |
| Unspecified | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 25% |
| Computer Science | 1 | 25% |
| Medicine and Dentistry | 1 | 25% |
| Unknown | 1 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 August 2024.
All research outputs
#16,551,195
of 26,560,982 outputs
Outputs from Clinical Epidemiology
#463
of 814 outputs
Outputs of similar age
#140,207
of 322,740 outputs
Outputs of similar age from Clinical Epidemiology
#4
of 8 outputs
Altmetric has tracked 26,560,982 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 814 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 322,740 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 55% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.