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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Distinct clinical and somatic mutational features of breast tumors with high-, low-, or non-expressing human epidermal growth factor receptor 2 status
|
|---|---|
| Published in |
BMC Medicine, April 2022
|
| DOI | 10.1186/s12916-022-02346-9 |
| Pubmed ID | |
| Authors |
Guochun Zhang, Chongyang Ren, Cheukfai Li, Yulei Wang, Bo Chen, Lingzhu Wen, Minghan Jia, Kai Li, Hsiaopei Mok, Li Cao, Xiaoqing Chen, Jiali Lin, Guangnan Wei, Yingzhi Li, Yuchen Zhang, Charles M. Balch, Ning Liao |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 4 | 15% |
| United States | 3 | 11% |
| United Kingdom | 3 | 11% |
| Canada | 2 | 7% |
| India | 1 | 4% |
| France | 1 | 4% |
| Japan | 1 | 4% |
| Colombia | 1 | 4% |
| Spain | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 8 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 59% |
| Scientists | 6 | 22% |
| Practitioners (doctors, other healthcare professionals) | 5 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 12% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Unspecified | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 17 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 29% |
| Unspecified | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Chemistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 18 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 08 May 2022.
All research outputs
#2,478,944
of 25,383,344 outputs
Outputs from BMC Medicine
#1,643
of 3,999 outputs
Outputs of similar age
#54,249
of 437,502 outputs
Outputs of similar age from BMC Medicine
#38
of 105 outputs
Altmetric has tracked 25,383,344 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,999 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.5. This one has gotten more attention than average, scoring higher than 58% 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 437,502 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 87% of its contemporaries.
We're also able to compare this research output to 105 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 64% of its contemporaries.