| Title |
Offering HeLP to work out the optimum treatment for haemorrhoidal disease
|
|---|---|
| Published in |
Techniques in Coloproctology, September 2018
|
| DOI | 10.1007/s10151-018-1850-x |
| Pubmed ID | |
| Authors |
Steven R. Brown, Matthew J. Lee |
X Demographics
The data shown below were collected from the profiles of 32 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 | 22% |
| United States | 3 | 9% |
| Spain | 3 | 9% |
| Mexico | 1 | 3% |
| Libya | 1 | 3% |
| Denmark | 1 | 3% |
| Chile | 1 | 3% |
| Italy | 1 | 3% |
| Greece | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 44% |
| Practitioners (doctors, other healthcare professionals) | 12 | 38% |
| Science communicators (journalists, bloggers, editors) | 4 | 13% |
| Scientists | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 04 December 2018.
All research outputs
#1,918,609
of 23,103,903 outputs
Outputs from Techniques in Coloproctology
#217
of 1,273 outputs
Outputs of similar age
#42,580
of 337,433 outputs
Outputs of similar age from Techniques in Coloproctology
#17
of 30 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,273 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 82% 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 337,433 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 87% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.