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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Development of a User-Friendly App for Testing Blood Coagulation Status in Schizophrenia Patients
|
|---|---|
| Chapter number | 34 |
| Book title |
Proteomic Methods in Neuropsychiatric Research
|
| Published in |
Advances in experimental medicine and biology, March 2017
|
| DOI | 10.1007/978-3-319-52479-5_34 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-952478-8, 978-3-31-952479-5
|
| Authors |
Vegt, Johannes, Guest, Paul C., Johannes Vegt, Paul C. Guest |
| Editors |
Paul C. Guest |
| Abstract |
Blood coagulation time is an important factor to consider for postoperative and cardiac disorder patients who have been prescribed anticoagulant coagulant medications. The coagulation process is also known to be perturbed in some individuals with psychiatric disorders, such as schizophrenia. This chapter describes a patient self-management system for a functional assessment of blood coagulation activity, determining the appropriate anticoagulant dosages using a test strip device and the Coagu app. The app can also be used as a patient reminder of treatment times and to monitor treatment and effects over time. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 21% |
| Researcher | 3 | 16% |
| Student > Bachelor | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 21% |
| Computer Science | 3 | 16% |
| Psychology | 2 | 11% |
| Nursing and Health Professions | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 September 2017.
All research outputs
#20,412,387
of 22,962,258 outputs
Outputs from Advances in experimental medicine and biology
#3,982
of 4,958 outputs
Outputs of similar age
#269,165
of 308,778 outputs
Outputs of similar age from Advances in experimental medicine and biology
#64
of 78 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,958 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 308,778 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.