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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of Twitter in Neurology: Boon or Bane?
|
|---|---|
| Published in |
Journal of Medical Internet Research, May 2021
|
| DOI | 10.2196/25229 |
| Pubmed ID | |
| Authors |
Biswamohan Mishra, Monica Saini, Carolynne M Doherty, Robert D S Pitceathly, Roopa Rajan, Omar K Siddiqi, Gita Ramdharry, Ajay Asranna, Pedro Jose Tomaselli, Allan G Kermode, Jawad A Bajwa, Divyani Garg, Venugopalan Y Vishnu |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 8 | 22% |
| United Kingdom | 5 | 14% |
| United States | 4 | 11% |
| Netherlands | 1 | 3% |
| Switzerland | 1 | 3% |
| Mexico | 1 | 3% |
| Australia | 1 | 3% |
| Saudi Arabia | 1 | 3% |
| Kenya | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 58% |
| Scientists | 6 | 17% |
| Practitioners (doctors, other healthcare professionals) | 5 | 14% |
| Science communicators (journalists, bloggers, editors) | 4 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 8% |
| Other | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 11 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 17% |
| Computer Science | 3 | 13% |
| Unspecified | 2 | 8% |
| Arts and Humanities | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 17 January 2023.
All research outputs
#1,277,885
of 24,880,704 outputs
Outputs from Journal of Medical Internet Research
#999
of 7,663 outputs
Outputs of similar age
#33,028
of 434,830 outputs
Outputs of similar age from Journal of Medical Internet Research
#32
of 325 outputs
Altmetric has tracked 24,880,704 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,663 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.9. This one has done well, scoring higher than 86% 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 434,830 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 92% of its contemporaries.
We're also able to compare this research output to 325 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 90% of its contemporaries.