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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting Response to Group Cognitive Behavioral Therapy in Asthma by a Small Number of Abnormal Resting-State Functional Connections
|
|---|---|
| Published in |
Frontiers in Neuroscience, November 2020
|
| DOI | 10.3389/fnins.2020.575771 |
| Pubmed ID | |
| Authors |
Yuqun Zhang, Kai Ma, Yuan Yang, Yingying Yin, Zhenghua Hou, Daoqiang Zhang, Yonggui Yuan |
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 % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 11 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 7 | 23% |
| Nursing and Health Professions | 4 | 13% |
| Medicine and Dentistry | 2 | 7% |
| Economics, Econometrics and Finance | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 13 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 February 2021.
All research outputs
#3,224,653
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#2,322
of 11,543 outputs
Outputs of similar age
#83,972
of 518,513 outputs
Outputs of similar age from Frontiers in Neuroscience
#163
of 322 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 79% 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 518,513 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 83% of its contemporaries.
We're also able to compare this research output to 322 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.