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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Depression and anxiety symptoms post-stroke/TIA: prevalence and associations in cross-sectional data from a regional stroke registry
|
|---|---|
| Published in |
BMC Neurology, October 2014
|
| DOI | 10.1186/s12883-014-0198-8 |
| Pubmed ID | |
| Authors |
Niall M Broomfield, Terence J Quinn, Azmil H Abdul-Rahim, Matthew R Walters, Jonathan J Evans |
| Abstract |
Mood disorders are commonly seen in those with cerebrovascular disease. Literature to-date has tended to focus on depression and on patients with stroke, with relatively little known about post-stroke anxiety or mood disorder in those with transient ischaemic attack (TIA). We aimed to describe prevalence of depression and anxiety symptoms in stroke and TIA cohorts and to explore association with clinical and socio-demographic factors. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 164 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 33 | 20% |
| Student > Bachelor | 21 | 13% |
| Student > Doctoral Student | 17 | 10% |
| Student > Postgraduate | 11 | 7% |
| Other | 9 | 5% |
| Other | 26 | 16% |
| Unknown | 47 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 38 | 23% |
| Psychology | 26 | 16% |
| Nursing and Health Professions | 23 | 14% |
| Neuroscience | 14 | 9% |
| Computer Science | 2 | 1% |
| Other | 12 | 7% |
| Unknown | 49 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 November 2019.
All research outputs
#13,611,172
of 23,664,476 outputs
Outputs from BMC Neurology
#1,065
of 2,524 outputs
Outputs of similar age
#119,285
of 254,970 outputs
Outputs of similar age from BMC Neurology
#14
of 36 outputs
Altmetric has tracked 23,664,476 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,524 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 56% 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 254,970 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 36 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 63% of its contemporaries.