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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Software engineering principles address current problems in the systematic review ecosystem
|
|---|---|
| Published in |
Journal of Clinical Epidemiology, December 2018
|
| DOI | 10.1016/j.jclinepi.2018.12.014 |
| Pubmed ID | |
| Authors |
Rabia Bashir, Adam G Dunn |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 14% |
| United Kingdom | 2 | 14% |
| Australia | 2 | 14% |
| Sweden | 1 | 7% |
| France | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 43% |
| Scientists | 5 | 36% |
| Science communicators (journalists, bloggers, editors) | 2 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 11% |
| Librarian | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 7 | 25% |
| Unknown | 10 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 25% |
| Medicine and Dentistry | 4 | 14% |
| Agricultural and Biological Sciences | 2 | 7% |
| Mathematics | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 11 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 August 2019.
All research outputs
#4,578,385
of 25,554,853 outputs
Outputs from Journal of Clinical Epidemiology
#1,595
of 4,800 outputs
Outputs of similar age
#93,507
of 445,195 outputs
Outputs of similar age from Journal of Clinical Epidemiology
#23
of 59 outputs
Altmetric has tracked 25,554,853 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,800 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has gotten more attention than average, scoring higher than 66% 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 445,195 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 78% of its contemporaries.
We're also able to compare this research output to 59 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 62% of its contemporaries.