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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A mixed methods systematic review of the effects of patient online self-diagnosing in the ‘smart-phone society’ on the healthcare professional-patient relationship and medical authority
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2020
|
| DOI | 10.1186/s12911-020-01243-6 |
| Pubmed ID | |
| Authors |
Annabel Farnood, Bridget Johnston, Frances S. Mair |
X Demographics
The data shown below were collected from the profiles of 37 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 | 21 | 57% |
| United States | 1 | 3% |
| Australia | 1 | 3% |
| Honduras | 1 | 3% |
| Unknown | 13 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 35% |
| Practitioners (doctors, other healthcare professionals) | 12 | 32% |
| Scientists | 11 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 163 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 25 | 15% |
| Researcher | 11 | 7% |
| Student > Ph. D. Student | 9 | 6% |
| Student > Master | 9 | 6% |
| Student > Doctoral Student | 8 | 5% |
| Other | 18 | 11% |
| Unknown | 83 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 10% |
| Social Sciences | 11 | 7% |
| Computer Science | 10 | 6% |
| Nursing and Health Professions | 9 | 6% |
| Business, Management and Accounting | 6 | 4% |
| Other | 27 | 17% |
| Unknown | 84 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 21 March 2024.
All research outputs
#864,260
of 25,537,395 outputs
Outputs from BMC Medical Informatics and Decision Making
#24
of 2,149 outputs
Outputs of similar age
#24,347
of 435,751 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 49 outputs
Altmetric has tracked 25,537,395 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,149 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 98% 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 435,751 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.