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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of the Predictive Models for the Treatment Response of Refractory/Relapsed B-Cell ALL Patients Receiving CAR-T Therapy
|
|---|---|
| Published in |
Frontiers in immunology, March 2022
|
| DOI | 10.3389/fimmu.2022.858590 |
| Pubmed ID | |
| Authors |
Jingxian Gu, Sining Liu, Wei Cui, Haiping Dai, Qingya Cui, Jia Yin, Zheng Li, Liqing Kang, Huiying Qiu, Yue Han, Miao Miao, Suning Chen, Shengli Xue, Ying Wang, Zhengming Jin, Xiaming Zhu, Lei Yu, Depei Wu, Xiaowen Tang |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 17% |
| United States | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
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 % |
|---|---|---|
| Unspecified | 4 | 21% |
| Student > Bachelor | 4 | 21% |
| Student > Master | 2 | 11% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 26% |
| Unspecified | 4 | 21% |
| Nursing and Health Professions | 2 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Sports and Recreations | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 26% |
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 05 April 2022.
All research outputs
#14,402,752
of 25,392,582 outputs
Outputs from Frontiers in immunology
#11,662
of 31,549 outputs
Outputs of similar age
#191,555
of 462,336 outputs
Outputs of similar age from Frontiers in immunology
#561
of 1,654 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,549 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 61% 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 462,336 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 58% of its contemporaries.
We're also able to compare this research output to 1,654 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 65% of its contemporaries.