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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comprehensive user requirements engineering methodology for secure and interoperable health data exchange
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2018
|
| DOI | 10.1186/s12911-018-0664-0 |
| Pubmed ID | |
| Authors |
Pantelis Natsiavas, Janne Rasmussen, Maja Voss-Knude, Κostas Votis, Luigi Coppolino, Paolo Campegiani, Isaac Cano, David Marí, Giuliana Faiella, Fabrizio Clemente, Marco Nalin, Evangelos Grivas, Oana Stan, Erol Gelenbe, Jos Dumortier, Jan Petersen, Dimitrios Tzovaras, Luigi Romano, Ioannis Komnios, Vassilis Koutkias |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Greece | 5 | 56% |
| Italy | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 19% |
| Student > Master | 14 | 16% |
| Student > Doctoral Student | 9 | 10% |
| Lecturer | 5 | 6% |
| Researcher | 5 | 6% |
| Other | 12 | 13% |
| Unknown | 28 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 20% |
| Engineering | 13 | 14% |
| Business, Management and Accounting | 12 | 13% |
| Social Sciences | 8 | 9% |
| Medicine and Dentistry | 4 | 4% |
| Other | 5 | 6% |
| Unknown | 30 | 33% |
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 24 August 2019.
All research outputs
#4,087,187
of 23,106,934 outputs
Outputs from BMC Medical Informatics and Decision Making
#355
of 2,013 outputs
Outputs of similar age
#82,322
of 348,433 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 26 outputs
Altmetric has tracked 23,106,934 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 2,013 research outputs from this source. They receive a mean Attention Score of 4.9. 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 348,433 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 76% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.