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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification and characterization of NF1 and non-NF1 congenital pseudarthrosis of the tibia based on germline NF1 variants: genetic and clinical analysis of 75 patients
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, September 2019
|
| DOI | 10.1186/s13023-019-1196-0 |
| Pubmed ID | |
| Authors |
Guanghui Zhu, Yu Zheng, Yaoxi Liu, An Yan, Zhengmao Hu, Yongjia Yang, Shiting Xiang, Liping Li, Weijian Chen, Yu Peng, Nanbert Zhong, Haibo Mei |
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 12% |
| Student > Doctoral Student | 3 | 9% |
| Student > Master | 3 | 9% |
| Researcher | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Other | 6 | 18% |
| Unknown | 11 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 36% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Computer Science | 1 | 3% |
| Energy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 39% |
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 25 November 2019.
All research outputs
#2,935,074
of 23,163,378 outputs
Outputs from Orphanet Journal of Rare Diseases
#405
of 2,654 outputs
Outputs of similar age
#62,180
of 342,881 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#4
of 29 outputs
Altmetric has tracked 23,163,378 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 2,654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 84% 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 342,881 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 81% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.