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Mendeley readers
Attention Score in Context
| Title |
Analysis of the genetic diversity of the nematode parasite Baylisascaris schroederi from wild giant pandas in different mountain ranges in China
|
|---|---|
| Published in |
Parasites & Vectors, August 2013
|
| DOI | 10.1186/1756-3305-6-233 |
| Pubmed ID | |
| Authors |
Xuan Zhou, Yue Xie, Zhi-he Zhang, Cheng-dong Wang, Yun Sun, Xiao-bin Gu, Shu-xian Wang, Xue-rong Peng, Guang-you Yang |
| Abstract |
Baylisascaris schroederi is one of the most common nematodes of the giant panda, and can cause severe baylisascarosis in both wild and captive giant pandas. Previous studies of the giant pandas indicated that this population is genetically distinct, implying the presence of a new subspecies. Based on the co-evolution between the parasite and the host, the aim of this study was to investigate the genetic differentiation in the B. schroederi population collected from giant pandas inhabiting different mountain ranges, and further to identify whether the evolution of this parasite correlates with the evolution of giant pandas. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
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 % |
|---|---|---|
| Spain | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 20% |
| Researcher | 6 | 20% |
| Student > Bachelor | 4 | 13% |
| Student > Master | 4 | 13% |
| Student > Doctoral Student | 2 | 7% |
| Other | 6 | 20% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 53% |
| Environmental Science | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Computer Science | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 3 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 September 2022.
All research outputs
#6,622,696
of 23,408,972 outputs
Outputs from Parasites & Vectors
#1,506
of 5,564 outputs
Outputs of similar age
#55,536
of 198,943 outputs
Outputs of similar age from Parasites & Vectors
#20
of 58 outputs
Altmetric has tracked 23,408,972 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 5,564 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 72% 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 198,943 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 70% of its contemporaries.
We're also able to compare this research output to 58 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 63% of its contemporaries.